Genetic Programming Bibliography entries for Mengjie Zhang
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GP coauthors/coeditors:
Fahmi Abdulhamid,
Kourosh Neshatian,
Andy Song,
Shima Afzali,
Harith Al-Sahaf,
Bing Xue,
Christopher Hollitt,
Soha Ahmed,
Lifeng Peng,
Qurrat Ul Ain,
Baligh Al-Helali,
Qi Chen,
Ying Bi,
Andrew Lensen,
Yi Mei,
Yanan Sun,
Binh Ngan Tran,
Mark Johnston,
Brijesh Verma,
Ausama Al-Sahaf,
Isidro M Alvarez,
Will N Browne,
Peter Andreae,
Huayang Jason Xie,
Mazhar Ansari Ardeh,
Xin Yao,
Dirk V Arnold,
Ryan J Urbanowicz,
Muhammad Iqbal,
Kamran Shafi,
Forrest Stonedahl,
William Michael Rand,
Tea Tusar,
Boris Naujoks,
David Walker,
Richard Everson,
Jonathan E Fieldsend,
Stefan Wagner,
Michael Affenzeller,
Zhun Fan,
Yaochu Jin,
Hod Lipson,
Erik Goodman,
Alexandru-Adrian Tantar,
Emilia Tantar,
Peter A N Bosman,
Kent McClymont,
Kevin Sim,
Gabriela Ochoa,
Ed Keedwell,
Anna Esparcia-Alcazar,
Frank William Moore,
Jaume Bacardit,
Ignacio Arnaldo Lucas,
Kalyan Veeramachaneni,
Una-May O'Reilly,
Stephen L Smith,
Stefano Cagnoni,
Robert M Patton,
Steven M Gustafson,
Ekaterina (Katya) Vladislavleva,
John R Woodward,
Jerry Swan,
Earl Barr,
Krzysztof Krawiec,
Chris Simons,
John A Clark,
Dirk Sudholt,
Aniko Ekart,
Carola Doerr,
Anne Auger,
Daniel L Atkins,
Roman Klapaukh,
Samaneh Azari,
Urvesh Bhowan,
Dana Briscoe,
Ross Vennell,
Pablo Mesejo Santiago,
Jing Liang,
Jurgen Branke,
Su Nguyen,
Christoph Pickardt,
Francine Burling-Claridge,
Mauro Castelli,
Lukas Sekanina,
Joao Guilherme Cavalcanti Costa,
Guang Chen,
Ben Niu,
Wolfgang Banzhaf,
Barret Chin,
Grant Dick,
Peter Alexander Whigham,
Lam Thu Bui,
Hisao Ishibuchi,
Xiaodong Li,
Yuhui Shi,
Pramod Singh,
Kay Chen Tan,
Ke Tang,
Carlton Downey,
Jing Liu,
Marko Durasevic,
Domagoj Jakobovic,
Benjamin Evans,
Hamish Evans,
Qinglan Fan,
Christopher Fogelberg,
Anna Friedlander,
Wenlong Fu,
Xiaoying (Sharon) Gao,
Bing Xu,
Jan Schindler,
Matthew Harper,
Ivy Liu,
Edward Haslam,
Samuel Hindmarsh,
Zhixing Huang,
Fangfang Zhang,
Rachel Hunt,
Jiatong Huo,
Lin Shang,
Josiah Jacobsen-Grocott,
Aaron Chen,
Ya-Hui Jia,
Taran John,
Thomas Liddle,
Deepak Karunakaran,
David Kinzett,
Daniel Howard,
Jan Larres,
Malcolm Lett,
Zexuan Yang,
Boyang Qu,
Mengnan Liu,
Yuyu Liang,
Xiao-Cheng Liao,
Saining Liu,
Yun Liu,
Yuxin Liu,
Zili Zhang,
Miao Lu,
Qiong Hu,
Yanbing Wei,
Peng Yang,
Wenbin Wu,
Hui Ma,
Anqi Wang,
Xiaoli Ma,
Guifa Teng,
Jordan MacLachlan,
Jessica Signal,
Richard J Marshall,
Atiya Masood,
G Chen,
Y Mei,
Daniel McGaughran,
Abigail McGhie,
Brandon Muller,
Damminda Alahakoon,
Dhananjay Thiruvady,
Yuan Sun,
Trung Bao Nguyen,
Damien O'Neill,
Sai Panda,
Junwei Pang,
John Park,
Grant Patterson,
Wenbin Pei,
Bo Peng,
Shuting Wan,
Tessa Phillips,
Christian Raymond,
Michael Riley,
Mohamad Rimas Mohamad Anfar,
Mitchell Rogers,
Igor Debski,
Johannes Fischer,
Peter McComb,
Peter G H Frost,
Patrice Delmas,
Roberto Santana,
Luis Marti,
Alexandre Sawczuk da Silva,
Aaron Scoble,
Bill Stephenson,
Zane Bruce,
Will Smart,
Dunhai Chen,
Zaixing Sun,
Hejiao Huang,
Chonglin Gu,
Bin Qian,
Boxiong Tan,
Shanshan Tang,
Min Huang,
Yuan Tian,
Cao Truong Tran,
Leonardo Trujillo,
Ting Hu,
Nuno Lourenco,
Chunyu Wang,
Peng Wang2,
Peng Wang,
Shaolin Wang,
Qinyu Wang,
Caiyun Wen,
Shengnan Zhang,
Qingbo Zhou,
Phillip Wong,
Mark Johnson,
Binzi Xu,
Yan Wang,
Zhicheng Ji,
Jizhong Xu,
Meng Xu,
Shiqiang Zhu,
Beibei Zhang,
Tian Xiang,
Longfei Felix Yan,
Zichu Yan,
Yifan Yang,
Victoria Huang,
Sven Hartmann,
Yunhan Yang,
Linley Jesson,
Daniel Yska,
Kunjie Yu,
Jintao Lian,
Yang Yu,
Dylon Zeng,
Peng Zeng,
Xiaotian Song,
Yuwei Ou,
Jiancheng Lv,
Yuye Zhang,
Paula Casanovas,
Jessica Schattschneider,
Seumas P Walker,
Jane E Symonds,
Hengzhe Zhang,
Aimin Zhou,
Alberto Tonda,
Victor Ciesielski,
Mark Pritchard,
Yun Zhang,
Weijun (Norman) Lou,
Minh Duc Cao,
Bunna Ny,
Dongping Qian,
Yuejin Ma,
Mario Koppen,
Sergio Damas,
Rui Zhang,
Tuo Zhang,
Luyao Zhu,
Xiaodong Zhu,
Ke Chen2,
Mengyuan Feng,
Genetic Programming Articles by Mengjie Zhang
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
A geometric semantic macro-crossover operator for evolutionary feature construction in regression.
Genetic Programming and Evolvable Machines, 25:Article number: 2, 2024.
Online first.
details
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Shaolin Wang and Yi Mei and Mengjie Zhang.
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems.
IEEE Transactions on Evolutionary Computation, 28(4):918-932, 2024.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification.
IEEE Transactions on Evolutionary Computation, 28(3):718-732, 2024.
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison.
IEEE Computational Intelligence Magazine, 19(2):18-33, 2024.
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang and Wolfgang Banzhaf.
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling.
Genetic Programming and Evolvable Machines, 25:Article no 5, 2024.
Online first.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Genetic Programming for Document Classification: A Transductive Transfer Learning System.
IEEE Transactions on Cybernetics, 54(2):1119-1132, 2024.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
A genetic programming-based method for image classification with small training data.
Knowledge-Based Systems, 283:111188, 2024.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling.
IEEE Transactions on Cybernetics, 53(7):4473-4486, 2023.
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Meng Xu and Yi Mei and Shiqiang Zhu and Beibei Zhang and Tian Xiang and Fangfang Zhang and Mengjie Zhang.
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing.
IEEE Transactions on Services Computing, 16(4):2657-2671, 2023.
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained].
IEEE Computational Intelligence Magazine, 18(4):62-63, 2023.
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Ying Bi and Bing Xue and Pablo Mesejo and Stefano Cagnoni and Mengjie Zhang.
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends.
IEEE Transactions on Evolutionary Computation, 27(1):5-25, 2023.
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Ying Bi and Bing Xue and Mengjie Zhang.
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification.
IEEE Transactions on Cybernetics, 53(2):1118-1132, 2023.
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Shaolin Wang and Yi Mei and Mengjie Zhang.
A Multi-Objective Genetic Programming Algorithm with alpha-dominance and Archive for Uncertain Capacitated Arc Routing Problem.
IEEE Transactions on Evolutionary Computation, 27(6):1633-1647, 2023.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse.
IEEE Transactions on Evolutionary Computation, 27(3):460-474, 2023.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Detecting Overlapping Areas in Unbalanced High-dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Transactions on Evolutionary Computation, 27(4):1130-1144, 2023.
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Yi Mei and Qi Chen and Andrew Lensen and Bing Xue and Mengjie Zhang.
Explainable Artificial Intelligence by Genetic Programming: A Survey.
IEEE Transactions on Evolutionary Computation, 27(3):621-641, 2023.
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Ya-Hui Jia and Yi Mei and Mengjie Zhang.
Learning Heuristics With Different Representations for Stochastic Routing.
IEEE Transactions on Cybernetics, 53(5):3205-3219, 2023.
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Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang.
Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation, 27(5):1192-1206, 2023.
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Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang.
Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation, 27(6):1705-1719, 2023.
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Ying Bi and Bing Xue and Dana Briscoe and Ross Vennell and Mengjie Zhang.
A new artificial intelligent approach to buoy detection for mussel farming.
Journal of the Royal Society of New Zealand, 53(1):27-51, 2023.
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang and Xin Yao.
Knowledge Transfer Genetic Programming with Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem.
IEEE Transactions on Evolutionary Computation, 27(2):311-325, 2023.
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Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification.
IEEE Transactions on Cybernetics, 52(8):8272-8285, 2022.
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Caiyun Wen and Miao Lu and Ying Bi and Shengnan Zhang and Bing Xue and Mengjie Zhang and Qingbo Zhou and Wenbin Wu.
An Object-Based Genetic Programming Approach for Cropland Field Extraction.
Remote Sensing, 14(5) 2022.
Special Issue Progresses in Agro-Geoinformatics.
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Leonardo Trujillo and Ting Hu and Nuno Lourenco and Mengjie Zhang.
Editorial Introduction.
Genetic Programming and Evolvable Machines, 23(3):305-307, 2022.
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Su Nguyen and Dhananjay Thiruvady and Mengjie Zhang and Damminda Alahakoon.
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Transactions on Cybernetics, 52(9):8603-8616, 2022.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
High-dimensional Unbalanced Binary Classification by Genetic Programming with Multi-criterion Fitness Evaluation and Selection.
Evolutionary Computation, 30(1):99-129, 2022.
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Miao Lu and Ying Bi and Bing Xue and Qiong Hu and Mengjie Zhang and Yanbing Wei and Peng Yang and Wenbin Wu.
Genetic Programming for High-Level Feature Learning in Crop Classification.
Remote Sensing, 14(16):3982, 2022.
Special Issue Remote Sensing for Mapping Farmland and Agricultural Infrastructure.
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Genetic Programming for Manifold Learning: Preserving Local Topology.
IEEE Transactions on Evolutionary Computation, 26(4):661-675, 2022.
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Ying Bi and Bing Xue and Mengjie Zhang.
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
IEEE Transactions on Evolutionary Computation, 26(2):218-232, 2022.
Special Issue on Multitask Evolutionary Computation.
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Shaolin Wang and Yi Mei and Mengjie Zhang and Xin Yao.
Genetic Programming with Niching for Uncertain Capacitated Arc Routing Problem.
IEEE Transactions on Evolutionary Computation, 26(1):73-87, 2022.
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Fangfang Zhang and Yi Mei and Su Nguyen and Kay Chen Tan and Mengjie Zhang.
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Transactions on Cybernetics, 52(10):10515-10528, 2022.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Cybernetics, 52(8):8142-8156, 2022.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
Genetic programming for feature extraction and construction in image classification.
Applied Soft Computing, 118:108509, 2022.
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Ying Bi and Bing Xue and Mengjie Zhang.
Dual-Tree Genetic Programming for Few-Shot Image Classification.
IEEE Transactions on Evolutionary Computation, 26(3):555-569, 2022.
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Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming for Instance Transfer Learning in Symbolic Regression.
IEEE Transactions on Cybernetics, 52(1):25-38, 2022.
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Boxiong Tan and Hui Ma and Yi Mei and Mengjie Zhang.
A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds.
IEEE Transactions on Cloud Computing, 10(3):1500-1514, 2022.
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Bo Peng and Ying Bi and Bing Xue and Mengjie Zhang and Shuting Wan.
A Survey on Fault Diagnosis of Rolling Bearings.
Algorithms, 15:article 347, 2022.
Special Issue Artificial Intelligence for Fault Detection and Diagnosis.
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Ying Bi and Bing Xue and Mengjie Zhang.
Using a Small Number of Training Instances in Genetic Programming for Face Image Classification.
Information Sciences, 593:488-504, 2022.
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem.
IEEE Transactions on Evolutionary Computation, 26(4):765-779, 2022.
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming.
IEEE Transactions on Cybernetics, 2022.
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Genetic programming for automatic skin cancer image classification.
Expert Systems with Applications, 197:116680, 2022.
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection.
IEEE Transactions on Emerging Topics in Computational Intelligence, 5(4):554-569, 2021.
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Su Nguyen and Dhananjay Thiruvady and Mengjie Zhang and Kay Chen Tan.
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming.
IEEE Transactions on Evolutionary Computation, 25(3):492-507, 2021.
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Qi Chen and Bing Xue and Mengjie Zhang.
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression.
IEEE Transactions on Evolutionary Computation, 25(3):433-447, 2021.
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Bo Peng and Shuting Wan and Ying Bi and Bing Xue and Mengjie Zhang.
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis.
IEEE Transactions on Cybernetics, 51(10):4909-4923, 2021.
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Bo Peng and Ying Bi and Bing Xue and Mengjie Zhang and Shuting Wan.
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes].
IEEE Computational Intelligence Magazine, 16(3):79-94, 2021.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Computational Intelligence Magazine, 16(1):84-98, 2021.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Applied Soft Computing, 101:106989, 2021.
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Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan.
People-Centric Evolutionary System for Dynamic Production Scheduling.
IEEE Transactions on Cybernetics, 51(3):1403-1416, 2021.
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization.
IEEE Transactions on Cybernetics, 51(11):5468-5482, 2021.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang and Kay Chen Tan.
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation, 25(4):651-665, 2021.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation, 25(3):552-566, 2021.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Transactions on Cybernetics, 51(4):1797-1811, 2021.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Output-based transfer learning in genetic programming for document classification.
Knowledge-Based Systems, 212:106597, 2021.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features.
Applied Soft Computing, 103:107172, 2021.
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Computing, 25(8):5993-6012, 2021.
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Binzi Xu and Yi Mei and Yan Wang and Zhicheng Ji and Mengjie Zhang.
Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling.
Evolutionary Computation, 29(1):75-105, 2021.
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Ying Bi and Bing Xue and Mengjie Zhang.
A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification.
IEEE Transactions on Evolutionary Computation, 25(6):1148-1162, 2021.
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Ying Bi and Bing Xue and Mengjie Zhang.
Multi-objective genetic programming for feature learning in face recognition.
Applied Soft Computing, 103:107152, 2021.
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Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming with Image-Related Operators and A Flexible Program Structure for Feature Learning in Image Classification.
IEEE Transactions on Evolutionary Computation, 25(1):87-101, 2021.
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Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.
IEEE Transactions on Cybernetics, 51(4):1769-1783, 2021.
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Harith Al-Sahaf and Ausama Al-Sahaf and Bing Xue and Mengjie Zhang.
Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances.
Evolutionary Computation, 29(3):331-366, 2021.
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data.
IEEE Transactions on Evolutionary Computation, 25(6):1049-1063, 2021.
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Shima Afzali Vahed Moghaddam and Harith Al-Sahaf and Bing Xue and Christopher Hollitt and Mengjie Zhang.
An automatic feature construction method for salient object detection: A genetic programming approach.
Expert Systems with Applications, 186:115726, 2021.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Computing, 24(23):18021-18038, 2020.
Special Issue Dedicated to the 3rd International Conference "Numerical Computations: Theory and Algorithms, NUMTA 2019" June 15-21, 2019, Isola Capo Rizzuto, Italy.
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Jordan MacLachlan and Yi Mei and Juergen Branke and Mengjie Zhang.
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evolutionary Computation, 28(4):563-593, 2020.
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Yuxin Liu and Yi Mei and Mengjie Zhang and Zili Zhang.
A Predictive-Reactive Approach with Genetic Programming and Cooperative Co-evolution for Uncertain Capacitated Arc Routing Problem.
Evolutionary Computation, 28(2):289-316, 2020.
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Andrew Lensen and Mengjie Zhang and Bing Xue.
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genetic Programming and Evolvable Machines, 21(3):399-431, 2020.
Special Issue: Highlights of Genetic Programming 2019 Events.
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evolutionary Computation, 28(4):531-561, 2020.
Winter.
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Ying Bi and Bing Xue and Mengjie Zhang.
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Computational Intelligence Magazine, 15(2):65-77, 2020.
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Muhammad Iqbal and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Genetic programming with transfer learning for texture image classification.
Soft Computing, 23(23):12859-12871, 2019.
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Wenlong Fu and Mengjie Zhang and Mark Johnston.
Bayesian genetic programming for edge detection.
Soft Computing, 23(12):4097-4112, 2019.
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Samaneh Azari and Bing Xue and Mengjie Zhang and Lifeng Peng.
Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification.
Journal of The American Society for Mass Spectrometry, 30(7) 2019.
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Binh Tran and Bing Xue and Mengjie Zhang.
Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognition, 93:404-417, 2019.
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Su Nguyen and Yi Mei and Bing Xue and Mengjie Zhang.
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
Evolutionary Computation, 27(3):467-496, 2019.
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Roberto Santana and Luis Marti and Mengjie Zhang.
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case.
Genetic Programming and Evolvable Machines, 20(3):385-411, 2019.
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Yuyu Liang and Mengjie Zhang and Will N. Browne.
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.
Neural Comput. Appl., 31(7):3075-3094, 2019.
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Qi Chen and Mengjie Zhang and Bing Xue.
Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression.
IEEE Transactions on Evolutionary Computation, 23(4):703-717, 2019.
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Qi Chen and Bing Xue and Mengjie Zhang.
Improving Generalisation of Genetic Programming for Symbolic Regression with Angle-Driven Geometric Semantic Operators.
IEEE Transactions on Evolutionary Computation, 23(3):488-502, 2019.
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Harith Al-Sahaf and Ying Bi and Qi Chen and Andrew Lensen and Yi Mei and Yanan Sun and Binh Tran and Bing Xue and Mengjie Zhang.
A survey on evolutionary machine learning.
Journal of the Royal Society of New Zealand, 49(2):205-228, 2019.
The 2019 Annual Collection of Reviews.
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John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang.
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Applied Soft Computing, 63:72-86, 2018.
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Su Nguyen and Yi Mei and Mengjie Zhang.
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genetic Programming and Evolvable Machines, 19(1-2):5-7, 2018.
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Su Nguyen and Mengjie Zhang and Damminda Alahakoon and Kay Chen Tan.
Visualizing the Evolution of Computer Programs for Genetic Programming.
IEEE Computational Intelligence Magazine, 13(4):77-94, 2018.
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Wenlong Fu and Bing Xu and Mengjie Zhang and Mark Johnston.
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].
IEEE Computational Intelligence Magazine, 13(4):46-58, 2018.
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Ying Bi and Bing Xue and Mengjie Zhang.
A Survey on Genetic Programming to Image Analysis.
Journal of Zhengzhou University (Engineering Science), 39(6):3-13, 2018.
In Chinese.
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Su Nguyen and Yi Mei and Mengjie Zhang.
Genetic programming for production scheduling: a survey with a unified framework.
Complex \& Intelligent Systems, 3(1) 2017.
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Bing Xue and Mengjie Zhang.
Evolutionary Feature Manipulation in Data Mining/Big Data.
SIGEVOlution, 10(1):4-11, 2017.
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Su Nguyen and Mengjie Zhang and Kay Chen Tan.
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Transactions on Cybernetics, 47(9):2951-2965, 2017.
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Yi Mei and Su Nguyen and Bing Xue and Mengjie Zhang.
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5):339-353, 2017.
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Yuyu Liang and Mengjie Zhang and Will N. Browne.
Image feature selection using genetic programming for figure-ground segmentation.
Engineering Applications of Artificial Intelligence, 62:96-108, 2017.
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Yuyu Liang and Mengjie Zhang and Will N. Browne.
Genetic programming for evolving figure-ground segmentors from multiple features.
Applied Soft Computing, 51:83-95, 2017.
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Muhammad Iqbal and Bing Xue and Harith Al-Sahaf and Mengjie Zhang.
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Transactions on Evolutionary Computation, 21(4):569-587, 2017.
details
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Qi Chen and Mengjie Zhang and Bing Xue.
Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Transactions on Evolutionary Computation, 21(5):792-806, 2017.
details
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Harith Al-Sahaf and Ausama Al-Sahaf and Bing Xue and Mark Johnston and Mengjie Zhang.
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Transactions on Evolutionary Computation, 21(1):83-101, 2017.
details
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Harith Al-Sahaf and Mengjie Zhang and Ausama Al-Sahaf and Mark Johnston.
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-invariant Texture Image Descriptors.
IEEE Transactions on Evolutionary Computation, 21(6):825-844, 2017.
details
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Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang.
Genetic programming for QoS-aware web service composition and selection.
Soft Computing, 20(10):3851-3867, 2016.
details
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Binh Tran and Bing Xue and Mengjie Zhang.
Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Computing, 8(1):3-15, 2016.
details
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Bing Xue and Mengjie Zhang and Will N. Browne and Xin Yao.
A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Transactions on Evolutionary Computation, 20(4):606-626, 2016.
details
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic programming for edge detection: a Gaussian-based approach.
Soft Computing, 20(3):1231-1248, 2016.
details
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Juergen Branke and Su Nguyen and Christoph Pickardt and Mengjie Zhang.
Automated Design of Production Scheduling Heuristics: A Review.
IEEE Transactions on Evolutionary Computation, 20(1):110-124, 2016.
details
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.
Evolutionary Computation, 24(1):143-182, 2016.
details
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Hui Ma and Anqi Wang and Mengjie Zhang.
A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition.
Transactions on Large-Scale Data and Knowledge-Centered Systems, 8980:180-205, 2015.
XVIII - Special Issue on Database and Expert-Systems Applications.
details
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
IEEE Transactions on Cybernetics, 45(1):1-14, 2015.
details
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.
Soft Computing, 19(7):1863-1880, 2015.
details
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Distribution-based invariant feature construction using genetic programming for edge detection.
Soft Computing, 19(8):2371-2389, 2015.
details
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Transactions on Evolutionary Computation, 18(2):193-208, 2014.
details
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments.
Evolutionary Computation, 22(1):105-138, 2014.
details
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Transactions on Evolutionary Computation, 18(4):465-480, 2014.
details
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Low-Level Feature Extraction for Edge Detection Using Genetic Programming.
IEEE Transactions on Cybernetics, 44(8) 2014.
details
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang and Xin Yao.
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Transactions on Evolutionary Computation, 18(6):893-908, 2014.
details
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
Improving Feature Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data using Genetic Programming.
Connection Science, 26(3):215-243, 2014.
details
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Mengjie Zhang and Mario Koeppen and Sergio Damas.
Special Issue on Computational Intelligence in Computer Vision and Image Processing.
IEEE Computational Intelligence Magazine, 8(1):14-15, 2013.
Guest Editorial.
details
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Huayang Xie and Mengjie Zhang.
Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming.
IEEE Transactions on Evolutionary Computation, 17(1):1-19, 2013.
details
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Learning iterative dispatching rules for job shop scheduling with genetic programming.
The International Journal of Advanced Manufacturing Technology, 67(1-4):85-100, 2013.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Transactions on Evolutionary Computation, 17(5):621-639, 2013.
details
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Hybrid evolutionary computation methods for quay crane scheduling problems.
Computer \& Operations Research, 40(8):2083-2093, 2013.
details
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Evolving optimum populations with XCS classifier systems.
Soft Computing, 17(3):503-518, 2013.
details
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evolutionary Intelligence, 6(2):73-91, 2013.
details
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang and Xin Yao.
Evolving Diverse Ensembles using Genetic Programming for Classification with Unbalanced Data.
IEEE Transactions on Evolutionary Computation, 17(3):368-386, 2013.
details
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Huayang Xie and Mengjie Zhang.
Impacts of sampling strategies in tournament selection for genetic programming.
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16(4):615-633, 2012.
details
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Andy Song and Mengjie Zhang.
Genetic programming for detecting target motions.
Connection Science, 24(2-3):117-141, 2012.
details
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Kourosh Neshatian and Mengjie Zhang and Peter Andreae.
A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming.
IEEE Transactions on Evolutionary Computation, 16(5):645-661, 2012.
details
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Carlton Downey and Mengjie Zhang and Jing Liu.
Parallel linear genetic programming for multi-class classification.
Genetic Programming and Evolvable Machines, 13(3):275-304, 2012.
Special issue on selected papers from the 2011 European conference on genetic programming.
details
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang.
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(2):406-421, 2012.
details
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Harith Al-Sahaf and Andy Song and Kourosh Neshatian and Mengjie Zhang.
Two-Tier genetic programming: towards raw pixel-based image classification.
Expert Systems with Applications, 39(16):12291-12301, 2012.
details
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Kourosh Neshatian and Mengjie Zhang.
Using genetic programming for context-sensitive feature scoring in classification problems.
Connection Science, 23(3):183-207, 2011.
details
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Huayang Xie and Mengjie Zhang.
Depth-Control Strategies for Crossover in Tree-based Genetic Programming.
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 15(9):1865-1878, 2011.
details
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David Kinzett and Mark Johnston and Mengjie Zhang.
Numerical simplification for bloat control and analysis of building blocks in genetic programming.
Evolutionary Intelligence, 2(4):151-168, 2009.
Special Issue.
details
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Daniel McGaughran and Mengjie Zhang.
Evolving More Representative Programs with Genetic Programming.
International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 19(1):1-22, 2009.
details
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Mengjie Zhang and Phillip Wong.
Explicitly Simplifying Evolved Genetic Programs During Evolution.
International Journal of Computational Intelligence and Applications, 7(2):201-232, 2008.
details
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Mengjie Zhang and Phillip Wong.
Genetic programming for medical classification: a program simplification approach.
Genetic Programming and Evolvable Machines, 9(3):229-255, 2008.
details
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Peter Andreae and Huayang Xie and Mengjie Zhang.
Genetic Programming for detecting rhythmic stress in spoken English.
International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(1):15-28, 2008.
details
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Mengjie Zhang and Christopher Graeme Fogelberg and Yuejin Ma.
A Linear Structured Approach and A Refined Fitness Function in Genetic Programming for Multi-class Object Classification.
Connection Science, 19(4):339-359, 2007.
Special Issue: Evolutionary Learning and Optimisation.
details
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
A New Crossover Operator in Genetic Programming for Object Classification.
IEEE Transactions on Systems, Man and Cybernetics, Part B, 37(5):1332-1343, 2007.
details
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Mengjie Zhang.
Improving Object Detection Performance with Genetic Programming.
International Journal on Artificial Intelligence Tools, 16(5):849-873, 2007.
details
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Xiaoli Ma and Guifa Teng and Mengjie Zhang.
Carbon Potential Using Genetic Programming.
Control and Automation, 23(9):239-241, 2007.
details
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Mengjie Zhang and Will Smart.
Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification.
Pattern Recognition Letters, 27(11):1266-1274, 2006.
Evolutionary Computer Vision and Image Understanding.
details
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Mengjie Zhang and Malcolm Lett.
Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data.
The IEEE Intelligent Informatics Bulletin, 7(1):12-21, 2006.
details
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Mengjie Zhang and Urvesh Bhowan and Bunna Ny.
Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function.
Electronic Letters on Computer Vision and Image Analysis, 6(1):27-43, 2006.
details
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Mengjie Zhang and Victor Ciesielski.
Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection.
International Journal of Computational Intelligence and Applications, 4(1):77-108, 2004.
details
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Mengjie Zhang and Victor B. Ciesielski and Peter Andreae.
A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming.
EURASIP Journal on Applied Signal Processing, 2003(8):841-859, 2003.
Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis.
details
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Rui Zhang and Yanan Sun and Mengjie Zhang.
GPU Based Genetic Programming for Faster Feature Extraction in Binary Image Classification.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation.
details
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Hengzhe Zhang and Aimin Zhou and Qi Chen and Bing Xue and Mengjie Zhang.
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method.
IEEE Transactions on Evolutionary Computation.
details
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Zaixing Sun and Yi Mei and Fangfang Zhang and Hejiao Huang and Chonglin Gu and Mengjie Zhang.
Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds.
IEEE Transactions on Services Computing.
Early Access.
details
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Yun Liu and Fangfang Zhang and Yanan Sun and Mengjie Zhang.
Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification.
IEEE Transactions on Cybernetics.
Accepted for future publication.
details
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Yifan Yang and Gang Chen2 and Hui Ma and Sven Hartmann and Mengjie Zhang.
Dual-Tree Genetic Programming With Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Qinyu Wang and Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification.
IEEE Transactions on Evolutionary Computation.
Early access.
details
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
Multi-Tree Genetic Programming for Learning Color and Multi-Scale Features in Image Classification.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling.
IEEE Transactions on Evolutionary Computation.
Early Access.
details
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Kunjie Yu and Jintao Lian and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang.
An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming.
IEEE Transactions on Evolutionary Computation.
Early Access.
details
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Kunjie Yu and Jintao Lian and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang.
A genetic programming approach with adaptive region detection to skin cancer image classification.
Journal of Automation and Intelligence.
details
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Jing Liang and Zexuan Yang and Ying Bi and Boyang Qu and Mengnan Liu and Bing Xue and Mengjie Zhang.
A Multi-Tree Genetic Programming-based Feature Construction Approach to Crop Classification Using Hyperspectral Images.
IEEE Transactions on Geoscience and Remote Sensing.
details
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Multitask Linear Genetic Programming with Shared Individuals and its Application to Dynamic Job Shop Scheduling.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Fangfang Zhang and Yuye Zhang and Paula Casanovas and Jessica Schattschneider and Seumas P. Walker and Bing Xue and Mengjie Zhang and Jane E. Symonds.
Health prediction for king salmon via evolutionary machine learning with genetic programming.
Journal of the Royal Society of New Zealand.
Latest Articles.
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Dylon Zeng and Ivy Liu and Ying Bi and Ross Vennell and Dana Briscoe and Bing Xue and Mengjie Zhang.
A new multi-object tracking pipeline based on computer vision techniques for mussel farms.
Journal of the Royal Society of New Zealand.
details
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Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang.
A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification.
IEEE Transactions on Evolutionary Computation.
Accepted for future publication.
details
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression.
IEEE Transactions on Emerging Topics in Computational Intelligence.
Early access.
details
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data.
IEEE Transactions on Cybernetics.
Early access.
details
Genetic Programming Books by Mengjie Zhang
Genetic Programming PhD doctoral thesis Mengjie Zhang
Genetic Programming Conference proceedings edited by Mengjie Zhang
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Mauro Castelli and Lukas Sekanina and Mengjie Zhang editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming. Volume 10781 of LNCS, Parma, Italy, Springer Verlag, 2018.
details
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Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014. Volume 8886 of Lecture Notes in Computer Science, Dunedin, New Zealand, Springer, 2014.
details
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Dirk Arnold and Mengjie Zhang and Ryan Urbanowicz and Muhammad Iqbal and Kamran Shafi and Forrest Stonedahl and William Rand and Tea Tusar and Boris Naujoks and David Walker and Richard Everson and Jonathan Fieldsend and Stefan Wagner and Michael Affenzeller and Zhun Fan and Yaochu Jin and Hod Lipson and Erik Goodman and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Kent McClymont and Kevin Sim and Gabriela Ochoa and Ed Keedwell and Anna I Esparcia-Alcazar and Frank W. Moore and Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Steven Gustafson and Ekaterina Vladislavleva and John Woodward and Jerry Swan and Earl Barr and Krzysztof Krawiec and Chris Simons and John Clark and Dirk Sudholt and Anna Esparcia and Aniko Ekart and Carola Doerr and Anne Auger editors,
GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. Vancouver, BC, Canada, 2014.
details
Genetic Programming conference papers by Mengjie Zhang
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Luyao Zhu and Fangfang Zhang and Mengyuan Feng and Ke Chen2 and Xiaodong Zhu and Mengjie Zhang.
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Tuo Zhang and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang.
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. In
Ting Hu and Aniko Ekart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 555-558, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. In
Marcus Gallagher editor,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 65-66, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. In
Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 998-1006, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Jizhong Xu and Qi Chen and Bing Xue and Mengjie Zhang.
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Shaolin Wang and Yi Mei and Mengjie Zhang.
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem. In
Ting Hu and Aniko Ekart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 547-550, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Chunyu Wang and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. In
Ting Hu and Aniko Ekart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 543-546, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Peng Wang and Bing Xue and Jing Liang and Mengjie Zhang.
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. In
Ruhul Sarker and Patrick Siarry and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 1363-1372, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Yuan Tian and Yi Mei and Mengjie Zhang.
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Shanshan Tang and Qi Chen and Bing Xue and Min Huang and Mengjie Zhang.
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Mohamad Rimas Mohamad Anfar and Qi Chen and Mengjie Zhang.
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Junwei Pang and Yi Mei and Mengjie Zhang.
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Su Nguyen and Dhananjay Thiruvady and Yuan Sun and Mengjie Zhang.
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. In
Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 942-951, Melbourne, Australia, 2024. Association for Computing Machinery.
details
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Matthew Harper and Ivy Liu and Bing Xue and Ross Vennell and Mengjie Zhang.
Evaluating Machine Learning Techniques for Predicting Salinity. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Qurrat UI Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Mengjie Zhang and Wolfgang Banzhaf.
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. In
Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors,
18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer.
details
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Mengjie Zhang.
EvoFeat: genetic programming-based feature engineering approach to tabular data classification. In
Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors,
Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. In
Mario Giacobini and Bing Xue and Luca Manzoni editors,
EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 142-158, Aberystwyth, 2024. Springer.
details
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Qinyu Wang and Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. In
Stephen Smith and Joao Correia and Christian Cintrano editors,
27th International Conference, EvoApplications 2024, volume 14635, pages 196-211, Aberystwyth, 2024. Springer.
details
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Saining Liu and Joao Guilherme Cavalcanti Costa and Yi Mei and Mengjie Zhang.
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. In
Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors,
18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer.
details
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Xiao-Cheng Liao and Yi Mei and Mengjie Zhang.
Learning Traffic Signal Control via Genetic Programming. In
Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 924-932, Melbourne, Australia, 2024. Association for Computing Machinery.
Best Paper Award.
details
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Taran Cyriac John and Qurrat Ul Ain and Harith Al-Sahaf and Mengjie Zhang.
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach. In
Stephen Smith and Joao Correia and Christian Cintrano editors,
27th International Conference, EvoApplications 2024, volume 14634, pages 413-429, Aberystwyth, 2024. Springer.
Best paper.
details
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Zai-Xing Sun and Fangfang Zhang and Yi Mei and Hejiao Huang and Chonglin Gu and Bin Qian and Mengjie Zhang.
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics. In
De-Shuang Huang and Xiankun Zhang and Wei Chen editors,
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I, volume 14862, pages 169-182, 2024. Springer.
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. In
Fenrong Liu and Arun Anand Sadanandan and Duc Nghia Pham and Petrus Mursanto and Dickson Lukose editors,
Pacific Rim International Conference on Artificial Intelligence, volume 14326, pages 385-397, Jakarta, Indonesia, 2023. Springer Nature.
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Hengzhe Zhang and Aimin Zhou and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. In
Alberto Moraglio editor,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 49-50, Lisbon, Portugal, 2023. Association for Computing Machinery.
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling. In
Tongliang Liu and Geoff Webb and Lin Yue and Dadong Wang editors,
36th Australasian Joint Conference on Artificial Intelligence, Part II, volume 14472, pages 403-415, Brisbane, Australia, 2023. Springer Nature.
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Chunyu Wang and Qi Chen and Bing Xue and Mengjie Zhang.
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. In
Australasian Conference on Data Science and Machine Learning, AusDM 2023, pages 163-176, Auckland, New Zealand, 2023. Springer.
details
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Mitchell Rogers and Igor Debski and Johannes Fischer and Peter McComb and Peter Frost and Bing Xue and Mengjie Zhang and Patrice Delmas.
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. In
Jaques Blanc-Talon and Patrice Delmas and Wilfried Philips and Paul Scheunders editors,
Advanced Concepts for Intelligent Vision Systems, volume 14124, pages 287-298, Kumamoto, Japan, 2023. Springer.
details
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Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang.
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1184-1193, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 420-428, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 707-710, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Qurrat Ul Ain and Bing Xue and Harith Al-Sahaf and Mengjie Zhang.
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. In
Australasian Conference on Data Science and Machine Learning, AusDM 2023, 2023. Springer.
details
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Luyao Zhu and Fangfang Zhang and Xiaodong Zhu and Ke Chen2 and Mengjie Zhang.
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 384-392, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
An Investigation of Terminal Settings on Multitask Multi-Objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 259-262, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Hengzhe Zhang and Qi Chen and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1194-1202, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Hengzhe Zhang and Qi Chen and Alberto Tonda and Bing Xue and Wolfgang Banzhaf and Mengjie Zhang.
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. In
Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors,
EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 84-100, Brno, Czech Republic, 2023. Springer Verlag.
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Fangfang Zhang and Mengjie Zhang and Yi Mei and Su Nguyen.
Genetic Programming and Machine Learning for Scheduling. In
Gui DeSouza and Gary Yen editors,
2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA, 2023.
details
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Dylon Zeng and Ying Bi and Ivy Liu and Bing Xue and Ross Vennell and Mengjie Zhang.
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. In
2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ), Palmerston North, New Zealand, 2023.
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Multi-Objective Genetic Programming Based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pages 427-430, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Mohamad Rimas and Qi Chen and Mengjie Zhang.
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. In
Tongliang Liu and Geoff Webb and Lin Yue and Dadong Wang editors,
36th Australasian Joint Conference on Artificial Intelligence, Part II, volume 14472, pages 429-440, Brisbane, Australia, 2023. Springer Nature.
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Atiya Masood and Gang Chen2 and Yi Mei and Harith Al-Sahaf and Mengjie Zhang.
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. In
Tongliang Liu and Geoff Webb and Lin Yue and Dadong Wang editors,
36th Australasian Joint Conference on Artificial Intelligence, Part II, volume 14472, pages 466-478, Brisbane, Australia, 2023. Springer Nature.
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Jordan MacLachlan and Yi Mei and Fangfang Zhang and Mengjie Zhang and Jessica Signal.
Learning Emergency Medical Dispatch Policies via Genetic Programming. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1409-1417, Lisbon, Portugal, 2023. Association for Computing Machinery.
Silver 2023 HUMIES.
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Grammar-Guided Linear Genetic Programming for Dynamic Job Shop Scheduling. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1137-1145, Lisbon, Portugal, 2023. Association for Computing Machinery.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach. In
Gui DeSouza and Gary Yen editors,
2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA, 2023.
Tutorial.
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Yifan Yang and Gang Chen2 and Hui Ma and Mengjie Zhang.
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. In
Service-Oriented Computing, 2022. Springer.
details
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling. In
Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors,
Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 615-618, Boston, USA, 2022. Association for Computing Machinery.
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Shaolin Wang and Yi Mei and Mengjie Zhang.
Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems. In
Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors,
Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 314-322, Boston, USA, 2022. Association for Computing Machinery.
Best Paper Award ECOM Track.
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Peng Wang2 and Bing Xue and Jing Liang and Mengjie Zhang.
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. In
AI 2022: Advances in Artificial Intelligence, 2022. Springer.
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling. In
Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors,
Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 955-963, Boston, USA, 2022. Association for Computing Machinery.
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Wenlong Fu and Bing Xue and Mengjie Zhang and Jan Schindler.
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. In
Wei Qi Yan and Minh Nguyen and Martin Stommel editors,
37th International Conference, Image and Vision Computing, IVCNZ 2022, volume 13836, pages 188-201, Auckland, New Zealand, 2022. Springer.
Revised Selected Papers.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. In
AI 2022: Advances in Artificial Intelligence, 2022. Springer.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. In
2022 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1218-1225, 2022.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Meng Xu and Fangfang Zhang and Yi Mei and Mengjie Zhang.
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. In
2022 IEEE Congress on Evolutionary Computation (CEC), 2022.
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Meng Xu and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. In
Eric Medvet and Gisele Pappa and Bing Xue editors,
EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 51-67, Madrid, Spain, 2022. Springer Verlag.
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Sai Panda and Yi Mei and Mengjie Zhang.
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. In
Leslie Perez Caceres and Sebastien Verel editors,
22nd European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2022, volume 13222, pages 95-110, Madrid, 2022. Springer.
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Atiya Masood and Gang Chen2 and Yi Mei and Harith Al-Sahaf and Mengjie Zhang.
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Jordan MacLachlan and Yi Mei and Fangfang Zhang and Mengjie Zhang.
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Zhixing Huang and Yi Mei and Fangfang Zhang and Mengjie Zhang.
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling. In
2022 IEEE Symposium Series on Computational Intelligence (SSCI), pages 496-503, 2022.
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Zhixing Huang and Fangfang Zhang and Yi Mei and Mengjie Zhang.
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. In
Eric Medvet and Gisele Pappa and Bing Xue editors,
EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 162-178, Madrid, Spain, 2022. Springer Verlag.
Best paper.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. In
Guenter Rudolph and Anna V. Kononova and Hernan E. Aguirre and Pascal Kerschke and Gabriela Ochoa and Tea Tusar editors,
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Proceedings, Part II, volume 13399, pages 48-62, Dortmund, Germany, 2022. Springer.
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Marko Durasevic and Domagoj Jakobovic and Yi Mei and Su Nguyen and Mengjie Zhang.
Introduction to automated design of scheduling heuristics with genetic programming. In
Jonathan E. Fieldsend and Markus Wagner editors,
GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022, pages 1506-1526, 2022. ACM.
Tutorial.
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Qurrat Ul Ain and Bing Xue and Harith Al-Sahaf and Mengjie Zhang.
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. In
2022 IEEE International Conference on Data Mining Workshops (ICDMW), pages 378-387, 2022.
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Fangfang Zhang and Su Nguyen and Yi Mei and Mengjie Zhang.
Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling. In
Genetic Programming for Production Scheduling, 2021. Springer.
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Yunhan Yang and Bing Xue and Linley Jesson and Mengjie Zhang.
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. In
2021 IEEE Congress on Evolutionary Computation (CEC), pages 588-595, 2021.
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Yifan Yang and Gang Chen2 and Hui Ma and Mengjie Zhang and Victoria Huang.
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 2141-2148, Krakow, Poland, 2021.
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Zichu Yan and Ying Bi and Bing Xue and Mengjie Zhang.
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 2015-2022, Krakow, Poland, 2021.
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Meng Xu and Fangfang Zhang and Yi Mei and Mengjie Zhang.
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 2117-2124, Krakow, Poland, 2021.
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Shaolin Wang and Yi Mei and Mengjie Zhang.
Two-Stage Multi-Objective Genetic Programming with Archive for Uncertain Capacitated Arc Routing Problem. In
Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors,
Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 287-295, internet, 2021. Association for Computing Machinery.
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Shaolin Wang and Yi Mei and Mengjie Zhang.
A Multi-Objective Genetic Programming Approach with Self-Adaptive alpha Dominance to Uncertain Capacitated Arc Routing Problem. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 636-643, Krakow, Poland, 2021.
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Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-objective Genetic Programming for Symbolic Regression with the Adaptive Weighted Splines Representation. In
Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors,
Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 165-166, internet, 2021. Association for Computing Machinery.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Genetic Programming for Borderline Instance Detection in High-dimensional Unbalanced Classification. In
Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors,
Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 349-357, internet, 2021. Association for Computing Machinery.
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Atiya Masood and Gang Chen2 and Mengjie Zhang.
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 644-651, Krakow, Poland, 2021.
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Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming with A New Representation and A New Mutation Operator for Image Classification. In
Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors,
Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 249-250, internet, 2021. Association for Computing Machinery.
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Shaolin Wang and Yi Mei and Mengjie Zhang.
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. In
IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021, pages 1-8, 2021. IEEE.
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Zhixing Huang and Yi Mei and Mengjie Zhang.
Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. In
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Joao Guilherme Cavalcanti Costa and Yi Mei and Mengjie Zhang.
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem. In
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Joao Guilherme Cavalcanti Costa and Yi Mei and Mengjie Zhang.
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 1864-1871, Krakow, Poland, 2021.
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
A Novel Multi-Task Genetic Programming Approach to Uncertain Capacitated Arc Routing Problem. In
Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors,
Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 759-767, internet, 2021. Association for Computing Machinery.
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. In
Yew-Soon Ong editor,
2021 IEEE Congress on Evolutionary Computation (CEC), pages 628-635, Krakow, Poland, 2021.
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. In
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
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Mengjie Zhang and Stefano Cagnoni.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
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Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang.
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. In
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Shaolin Wang and Yi Mei and Mengjie Zhang.
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A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. In
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Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang.
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
A Genetic Programming Method for Classifier Construction and Cost Learning in High-Dimensional Unbalanced Classification. In
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. In
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Trung B. Nguyen and Will N. Browne and Mengjie Zhang.
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Abigail McGhie and Bing Xue and Mengjie Zhang.
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A. Masood and G. Chen and Y. Mei and H. Al-Sahaf and M. Zhang.
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Qinglan Fan and Bing Xue and Mengjie Zhang.
A Region Adaptive Image Classification Approach Using Genetic Programming. In
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Benjamin P. Evans and Bing Xue and Mengjie Zhang.
Improving Generalisation of AutoML Systems with Dynamic Fitness Evaluations. In
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Benjamin Evans and Bing Xue and Mengjie Zhang.
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. In
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. In
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Qi Chen and Bing Xue and Mengjie Zhang.
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Ying Bi and Bing Xue and Mengjie Zhang.
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. In
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Ying Bi and Bing Xue and Mengjie Zhang.
Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming. In
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Ying Bi and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Feature Learning for Facial Expression Classification. In
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. In
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data. In
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. In
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. In
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Qurrat Ul Ain and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
A Genetic Programming Approach to Feature Construction for Ensemble Learning in Skin Cancer Detection. In
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Qurrat Ul Ain and Bing Xue and Harith Al-Sahaf and Mengjie Zhang.
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. In
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. In
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A Two-stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling. In
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
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2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 41-48, Wellington, New Zealand, 2019. IEEE Press.
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Shaolin Wang and Yi Mei and John Park and Mengjie Zhang.
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. In
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Shaolin Wang and Yi Mei and Mengjie Zhang.
Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem. In
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Qurrat Ul Ain and Bing Xue and Harith Al-Sahaf and Mengjie Zhang.
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. In
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Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming with Rademacher Complexity for Symbolic Regression. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2657-2664, Wellington, New Zealand, 2019. IEEE Press.
details
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Wenbin Pei and Bing Xue and Mengjie Zhang and Lin Shang.
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. In
2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1770-1777, 2019.
details
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 187-188, Prague, Czech Republic, 2019. ACM.
details
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2779-2786, Wellington, New Zealand, 2019. IEEE Press.
details
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Trung B. Nguyen and Will N. Browne and Mengjie Zhang.
Improvement of Code Fragment Fitness to Guide Feature Construction in XCS. In
Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 428-436, Prague, Czech Republic, 2019. ACM.
details
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Trung B. Nguyen and Will N. Browne and Mengjie Zhang.
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. In
2019 IEEE Congress on Evolutionary Computation (CEC), pages 3308-3315, 2019.
details
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Brandon Muller and Harith Al-Sahaf and Bing Xue and Mengjie Zhang.
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 350-351, Prague, Czech Republic, 2019. ACM.
details
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Can Genetic Programming Do Manifold Learning Too?. In
Lukas Sekanina and Ting Hu and Nuno Lourenco editors,
EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 114-130, Leipzig, Germany, 2019. Springer Verlag.
Best paper.
details
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Deepak Karunakaran and Yi Mei and Mengjie Zhang.
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. In
2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1598-1605, 2019.
details
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Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang.
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 434-441, Wellington, New Zealand, 2019. IEEE Press.
details
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2260-2267, Wellington, New Zealand, 2019. IEEE Press.
details
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Benjamin P. Evans and Bing Xue and Mengjie Zhang.
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. In
Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1012-1020, Prague, Czech Republic, 2019. ACM.
details
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Samaneh Azari and Bing Xue and Mengjie Zhang and Lifeng Peng.
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches. In
Abhaya C. Nayak and Alok Sharma editors,
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part III, volume 11672, pages 474-487, 2019. Springer.
details
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. In
Abhaya C. Nayak and Alok Sharma editors,
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I, volume 11670, pages 196-200, 2019. Springer.
details
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Atiya Masood and Gang Chen2 and Yi Mei and Harith Al-Sahaf and Mengjie Zhang.
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. In
Jixue Liu and James Bailey editors,
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings, volume 11919, pages 536-548, 2019. Springer.
details
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. In
Jixue Liu and James Bailey editors,
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings, volume 11919, pages 523-535, 2019. Springer.
details
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Samaneh Azari and Bing Xue and Mengjie Zhang and Lifeng Peng.
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry. In
Shivakumara Palaiahnakote and Gabriella Sanniti di Baja and Liang Wang and Wei Qi Yan editors,
Pattern Recognition - 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II, volume 12047, pages 449-463, 2019. Springer.
details
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. In
Shivakumara Palaiahnakote and Gabriella Sanniti di Baja and Liang Wang and Wei Qi Yan editors,
Pattern Recognition - 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II, volume 12047, pages 566-579, 2019. Springer.
details
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Qi Chen and Bing Xue and Mengjie Zhang.
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 161-162, Prague, Czech Republic, 2019. ACM.
details
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Qi Chen and Bing Xue and Mengjie Zhang.
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 3006-3013, Wellington, New Zealand, 2019. IEEE Press.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
An automated ensemble learning framework using genetic programming for image classification. In
Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 365-373, Prague, Czech Republic, 2019. ACM.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 3197-3204, Wellington, New Zealand, 2019. IEEE Press.
details
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Samaneh Azari and Bing Xue and Mengjie Zhang and Lifeng Peng.
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 3244-3251, Wellington, New Zealand, 2019. IEEE Press.
details
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 334-335, Prague, Czech Republic, 2019. ACM.
details
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Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang.
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 49-56, Wellington, New Zealand, 2019. IEEE Press.
details
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Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang.
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. In
2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2395-2402, 2019.
details
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Shima Afzali and Harith Al-Sahaf and Bing Xue and Christopher Hollitt and Mengjie Zhang.
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. In
Paul Kaufmann and Pedro A. Castillo editors,
22nd International Conference, EvoApplications 2019, volume 11454, pages 308-324, Leipzig, Germany, 2019. Springer Verlag.
details
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 766-772, Wellington, New Zealand, 2018. Springer.
details
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John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang.
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer.
details
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Jordan MacLachlan and Yi Mei and Juergen Branke and Mengjie Zhang.
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer.
details
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Ying Bi and Bing Xue and Mengjie Zhang.
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 251-257, Wellington, New Zealand, 2018. Springer.
details
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Shima Afzali and Harith Al-Sahaf and Bing Xue and Christopher Hollitt and Mengjie Zhang.
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer.
details
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Fangfang Zhang and Yi Mei and Mengjie Zhang.
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 472-484, Wellington, New Zealand, 2018. Springer.
details
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Daniel Yska and Yi Mei and Mengjie Zhang.
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. In
Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 149-150, Kyoto, Japan, 2018. ACM.
details
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Daniel Yska and Yi Mei and Mengjie Zhang.
Genetic Programming Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. In
Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 306-321, Parma, Italy, 2018. Springer Verlag.
details
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Cao Truong Tran and Mengjie Zhang and Bing Xue and Peter Andreae.
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 577-589, Wellington, New Zealand, 2018. Springer.
details
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Wenbin Pei and Bing Xue and Lin Shang and Mengjie Zhang.
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. In
Tanja Mitrovic and Bing Xue and Xiaodong Li editors,
Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 643-655, Wellington, New Zealand, 2018. Springer.
details
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John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang.
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. In
Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 253-270, Parma, Italy, 2018. Springer Verlag.
details
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Su Nguyen and Mengjie Zhang and Kay Chen Tan.
Adaptive charting genetic programming for dynamic flexible job shop scheduling. In
Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1159-1166, Kyoto, Japan, 2018. ACM.
details
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Yi Mei and Mengjie Zhang.
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. In
Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 141-142, Kyoto, Japan, 2018. ACM.
details
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Yi Mei and Mengjie Zhang.
Genetic Programming Hyper-heuristic for Stochastic Team Orienteering Problem with Time Windows. In
Marley Vellasco editor,
2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE.
details
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Atiya Masood and Gang Chen2 and Yi Mei and Mengjie Zhang.
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. In
Arnaud Liefooghe and Manuel Lopez-Ibanez editors,
The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2018, volume 10782, pages 116-131, Parma, Italy, 2018. Springer.
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Automatically evolving difficult benchmark feature selection datasets with genetic programming. In
Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 458-465, Kyoto, Japan, 2018. ACM.
details
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Andrew Lensen and Bing Xue and Mengjie Zhang.
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. In
Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors,
EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 84-100, Parma, Italy, 2018. Springer Verlag.
details
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Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang.
Sampling Heuristics for Multi-Objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. In
Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors,
15th International Conference on Parallel Problem Solving from Nature, volume 11102, pages 347-359, Coimbra, Portugal, 2018. Springer.
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Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1451-1452, Madrid, Spain, 2015. ACM.
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John Park and Su Nguyen and Mengjie Zhang and Mark Johnston.
Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling. In
Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors,
18th European Conference on Genetic Programming, volume 9025, pages 92-104, Copenhagen, 2015. Springer.
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Su Nguyen and Mengjie Zhang and Kay Chen Tan.
Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems. In
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Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2781-2788, Sendai, Japan, 2015. IEEE Press.
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Yuyu Liang and Mengjie Zhang and Will Browne.
A Supervised Figure-ground Segmentation Method using Genetic Programming. In
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18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 491-503, Copenhagen, 2015. Springer.
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Andrew Lensen and Harith Al-Sahaf and Mengjie Zhang and Bing Xue.
A hybrid Genetic Programming approach to feature detection and image classification. In
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Andrew Lensen and Harith Al-Sahaf and Mengjie Zhang and Brijesh Verma.
Genetic Programming for Algae Detection in River Images. In
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Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2468-2475, Sendai, Japan, 2015. IEEE Press.
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Rachel Hunt and Mark Johnston and Mengjie Zhang.
Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. In
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The 15th European Conference on Evolutionary Computation in Combinatorial Optimisation, volume 9026, pages 222-233, Copenhagen, 2015. Springer.
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Qi Chen and Bing Xue and Mengjie Zhang.
Generalisation and Domain Adaptation in GP with Gradient Descent for Symbolic Regression. In
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Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 1137-1144, Sendai, Japan, 2015. IEEE Press.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 975-982, Madrid, Spain, 2015. ACM.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston and Brijesh Verma.
Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification. In
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Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2460-2467, Sendai, Japan, 2015. IEEE Press.
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Su Nguyen and Mengjie Zhang and Mark Johnston.
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. In
Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors,
17th European Conference on Genetic Programming, volume 8599, pages 124-136, Granada, Spain, 2014. Springer.
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Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang.
A GP Approach to QoS-Aware Web Service Composition and Selection. In
Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 180-191, Dunedin, New Zealand, 2014. Springer.
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John Park and Su Nguyen and Mengjie Zhang and Mark Johnston.
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 723-734, 2014. Springer.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 656-667, 2014. Springer.
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Richard J. Marshall and Mark Johnston and Mengjie Zhang.
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 668-679, 2014. Springer.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Automatic Resolution Selection for Edge Detection Using Genetic Programming. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 810-821, 2014. Springer.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 335-346, 2014. Springer.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng and Bing Xue.
Genetic Programming for Measuring Peptide Detectability. In
Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 593-604, 2014. Springer.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification. In
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Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014, pages 84-89, Hamilton, New Zealand, 2014. ACM.
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Yang Yu and Hui Ma and Mengjie Zhang.
A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition. In
Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 106-118, Dunedin, New Zealand, 2014. Springer.
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Yang Yu and Hui Ma and Mengjie Zhang.
A Genetic Programming Approach to Distributed QoS-Aware Web Service Composition. In
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Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1840-1846, Beijing, China, 2014.
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Su Nguyen and Mengjie Zhang and Mark Johnston.
A Sequential Genetic Programming Method to Learn Forward Construction Heuristics for Order Acceptance and Scheduling. In
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Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1824-1831, Beijing, China, 2014.
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Richard J. Marshall and Mark Johnston and Mengjie Zhang.
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation. In
Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 618-630, Dunedin, New Zealand, 2014. Springer.
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Richard J. Marshall and Mark Johnston and Mengjie Zhang.
Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 71-72, Vancouver, BC, Canada, 2014. ACM.
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Yuyu Liang and Mengjie Zhang and Will N. Browne.
Image Segmentation: A Survey of Methods Based on Evolutionary Computation. In
Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors,
Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 847-859, Dunedin, New Zealand, 2014. Springer.
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Rachel Hunt and Mark Johnston and Mengjie Zhang.
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 927-934, Vancouver, BC, Canada, 2014. ACM.
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Rachel Hunt and Mark Johnston and Mengjie Zhang.
Evolving Machine-Specific Dispatching Rules for a Two-Machine Job Shop using Genetic Programming. In
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Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 618-625, Beijing, China, 2014.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?. In
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17th European Conference on the Applications of Evolutionary Computation, volume 8602, pages 451-463, Granada, 2014. Springer.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Unsupervised Learning for Edge Detection Using Genetic Programming. In
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Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 117-124, Beijing, China, 2014.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data. In
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17th European Conference on the Applications of Evolutionary Computation, volume 8602, pages 915-927, Granada, 2014. Springer.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
Prediction of detectable peptides in MS data using genetic programming. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 37-38, Vancouver, BC, Canada, 2014. ACM.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng and Bing Xue.
Multiple feature construction for effective biomarker identification and classification using genetic programming. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 249-256, Vancouver, BC, Canada, 2014. ACM.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
A New GP-Based Wrapper Feature Construction Approach to Classification and Biomarker Identification. In
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Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 2756-2763, Beijing, China, 2014.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Learning Reusable Initial Solutions for Multi-Objective Order Acceptance and Scheduling Problems with Genetic Programming. In
Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors,
Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 157-168, Vienna, Austria, 2013. Springer Verlag.
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Yang Yu and Hui Ma and Mengjie Zhang.
An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition. In
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2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1740-1747, Cancun, Mexico, 2013.
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Anqi Wang and Hui Ma and Mengjie Zhang.
Genetic Programming with Greedy Search for Web Service Composition. In
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24th International Conference on Database and Expert, DEXA 2013, volume 8056, pages 9-17, Prague, Czech Republic, 2013. Springer.
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Aaron Scoble and Will Browne and Bill Stephenson and Zane Bruce and Mengjie Zhang.
Evolutionary Spatial Auto-Correlation for Assessing Earthquake Liquefaction Potential using Parallel Linear Genetic Programming. In
Luis Gerardo de la Fraga editor,
2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2940-2947, Cancun, Mexico, 2013.
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John Park and Su Nguyen and Mengjie Zhang and Mark Johnston.
Genetic Programming for Order Acceptance and Scheduling. In
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2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1005-1012, Cancun, Mexico, 2013.
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John Park and Su Nguyen and Mark Johnston and Mengjie Zhang.
Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. In
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Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013), volume 8272, pages 478-489, Dunedin, New Zealand, 2013. Springer.
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Roman Klapaukh and Will Browne and Mengjie Zhang.
The Effect of Primitive Sets on the Expression of Evolved Images. In
Luis Gerardo de la Fraga editor,
2013 IEEE Conference on Evolutionary Computation, volume 1, pages 725-732, Cancun, Mexico, 2013.
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Comparison of two methods for computing action values in XCS with code-fragment actions. In
Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors,
GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1235-1242, Amsterdam, The Netherlands, 2013. ACM.
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Muhammad Iqbal and Will N. Browne and Mengjie Zhang.
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale Boolean problems. In
Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors,
GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1045-1052, Amsterdam, The Netherlands, 2013. ACM.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. In
Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors,
Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 365-375, Vienna, 2013. Springer Verlag.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic Programming for Automatic Construction of Variant Features in Edge Detection. In
Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors,
Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 354-364, Vienna, 2013. Springer Verlag.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic programming for edge detection using multivariate density. In
Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors,
GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 917-924, Amsterdam, The Netherlands, 2013. ACM.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Triangular-Distribution-Based Feature Construction Using Genetic Programming for Edge Detection. In
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2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1732-1739, Cancun, Mexico, 2013.
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang.
Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. In
Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors,
GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 135-136, Amsterdam, The Netherlands, 2013. ACM.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
Binary image classification using genetic programming based on local binary patterns. In
28th International Conference of Image and Vision Computing New Zealand (IVCNZ 2013), pages 220-225, Wellington, 2013. IEEE Press.
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Harith Al-Sahaf and Andy Song and Mengjie Zhang.
Hybridisation of Genetic Programming and Nearest Neighbour for Classification. In
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2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2650-2657, Cancun, Mexico, 2013.
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Harith Al-Sahaf and Mengjie Zhang and Mark Johnston.
A One-Shot Learning Approach to Image Classification Using Genetic Programming. In
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Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013), volume 8272, pages 110-122, Dunedin, New Zealand, 2013. Springer.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach. In
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11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, volume 7833, pages 43-55, Vienna, Austria, 2013. Springer Verlag.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
Enhanced Feature Selection for Biomarker Discovery in LC-MS Data using GP. In
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2013 IEEE Conference on Evolutionary Computation, volume 1, pages 584-591, Cancun, Mexico, 2013.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. In
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Kourosh Neshatian and Mengjie Zhang.
Improving Relevance Measures Using Genetic Programming. In
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Samuel Hindmarsh and Peter Andreae and Mengjie Zhang.
Genetic programming for improving image descriptors generated using the scale-invariant feature transform. In
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Image and Vision Computing New Zealand, IVCNZ, 2012, pages 85-90, Dunedin, New Zealand, 2012. ACM.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. In
Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors,
The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 341-350, Vietnam, 2012. Springer.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Tan Kay Chen.
A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems. In
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Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3332-3339, Brisbane, Australia, 2012.
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Rachel Hunt and Kourosh Neshatian and Mengjie Zhang.
A Genetic Programming Approach to Hyper-Heuristic Feature Selection. In
Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors,
The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 320-330, Vietnam, 2012. Springer.
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Rachel Hunt and Kourosh Neshatian and Mengjie Zhang.
Scalability Analysis of Genetic Programming Classifiers. In
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. In
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic programming for edge detection based on figure of merit. In
Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors,
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic programming for edge detection using blocks to extract features. In
Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors,
GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 855-862, Philadelphia, Pennsylvania, USA, 2012. ACM.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic Programming for Edge Detection via Balancing Individual Training Images. In
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Soft Edge Maps From Edge Detectors Evolved by Genetic Programming. In
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Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 1356-1363, Brisbane, Australia, 2012.
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Aaron Scoble and Mark Johnston and Mengjie Zhang.
Local Search in Parallel Linear Genetic Programming for Multiclass Classification. In
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25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 373-384, Sydney, Australia, 2012. Springer.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. In
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25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 144-155, Sydney, Australia, 2012. Springer.
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Soha Ahmed and Mengjie Zhang and Lifeng Peng.
Genetic Programming for Biomarker Detection in Mass Spectrometry Data. In
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25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 266-278, Sydney, Australia, 2012. Springer.
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Harith Al-Sahaf and Andy Song and Kourosh Neshatian and Mengjie Zhang.
Extracting Image Features for Classification By Two-Tier Genetic Programming. In
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Fahmi Abdulhamid and Andy Song and Kourosh Neshatian and Mengjie Zhang.
Evolving Genetic Programming Classifiers with Loop Structures. In
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Carlton Downey and Mengjie Zhang.
Parallel Linear Genetic Programming. In
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Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 178-189, Turin, Italy, 2011. Springer Verlag.
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Aaron Scoble and Mark Johnston and Mengjie Zhang.
Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. In
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Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 341-350, Perth, Australia, 2011. Springer.
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Rachel Hunt and Mark Johnston and Mengjie Zhang.
Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. In
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Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 311-320, Perth, Australia, 2011. Springer.
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. In
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang.
Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data. In
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Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 192-202, Perth, Australia, 2011. Springer.
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Muhammad Iqbal and Mengjie Zhang and Will Browne.
Automatically defined functions for learning classifier systems. In
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Wenlong Fu and Mark Johnston and Mengjie Zhang.
Genetic Programming For Edge Detection: A Global Approach. In
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Anna Friedlander and Kourosh Neshatian and Mengjie Zhang.
Meta-Learning and Feature Ranking Using Genetic Programming for Classification: Variable Terminal Weighting. In
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Carlton Downey and Mengjie Zhang.
Caching for parallel linear genetic programming. In
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Carlton Downey and Mengjie Zhang.
Execution Trace Caching for Linear Genetic Programming. In
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang.
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. In
Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors,
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Daniel Atkins and Kourosh Neshatian and Mengjie Zhang.
A Domain Independent Genetic Programming Approach to Automatic Feature Extraction for Image Classification. In
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Harith Al-Sahaf and Kourosh Neshatian and Mengjie Zhang.
Automatic feature extraction and image classification using genetic programming. In
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Fahmi Abdulhamid and Kourosh Neshatian and Mengjie Zhang.
Genetic programming for evolving programs with loop structures for classification tasks. In
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Urvesh Bhowan and Mengjie Zhang and Mark Johnston.
A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data. In
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Australasian Conference on Artificial Intelligence, volume 6464, pages 243-252, Adelaide, 2010. Springer.
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Andy Song and Dunhai Chen and Mengjie Zhang.
Contribution based bloat control in Genetic Programming. In
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Thomas Liddle and Mark Johnston and Mengjie Zhang.
Multi-Objective Genetic Programming for object detection. In
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Jan Larres and Mengjie Zhang and Will N Browne.
Using unrestricted loops in genetic programming for image classification. In
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David Kinzett and Mengjie Zhang and Mark Johnston.
Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. In
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David Kinzett and Mengjie Zhang and Mark Johnston.
Analysis of Building Blocks with Numerical Simplification in Genetic Programming. In
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Mark Johnston and Thomas Liddle and Mengjie Zhang.
A Relaxed Approach to Simplification in Genetic Programming. In
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Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 110-121, Istanbul, 2010. Springer.
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Rachel Hunt and Mark Johnston and Will N. Browne and Mengjie Zhang.
Sampling Methods in Genetic Programming for Classification with Unbalanced Data. In
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Australasian Conference on Artificial Intelligence, volume 6464, pages 273-282, 2010. Springer.
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Carlton Downey and Mengjie Zhang and Will N. Browne.
New crossover operators in linear genetic programming for multiclass object classification. In
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Urvesh Bhowan and Mengjie Zhang and Mark Johnston.
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. In
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Urvesh Bhowan and Mengjie Zhang and Mark Johnston.
Genetic Programming for Classification with Unbalanced Data. In
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Daniel L Atkins and Roman Klapaukh and Will N Browne and Mengjie Zhang.
Evolution of aesthetically pleasing images without human-in-the-loop. In
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Kourosh Neshatian and Mengjie Zhang.
Genetic Programming for Feature Subset Ranking in Binary Classification Problems. In
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Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 121-132, Tuebingen, 2009. Springer.
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Kourosh Neshatian and Mengjie Zhang.
Dimensionality reduction in face detection: A genetic programming approach. In
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Carlton Downey and Mengjie Zhang.
Multiclass object classification for computer vision using Linear Genetic Programming. In
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Andy Song and Dunhai Chen and Mengjie Zhang.
Bloat control in genetic programming by evaluating contribution of nodes. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1893-1894, Montreal, 2009. ACM.
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Kourosh Neshatian and Mengjie Zhang.
Pareto front feature selection: using genetic programming to explore feature space. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1027-1034, Montreal, 2009. ACM.
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David Kinzett and Mark Johnston and Mengjie Zhang.
How online simplification affects building blocks in genetic programming. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 979-986, Montreal, 2009. ACM.
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Huayang Xie and Mengjie Zhang.
Balancing Parent and Offspring Selection in Genetic Programming. In
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Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 454-464, Melbourne, Australia, 2009. Springer.
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Kourosh Neshatian and Mengjie Zhang.
Unsupervised Elimination of Redundant Features Using Genetic Programming. In
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Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 432-442, Melbourne, Australia, 2009. Springer.
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Urvesh Bhowan and Mengjie Zhang and Mark Johnston.
Multi-Objective Genetic Programming for Classification with Unbalanced Data. In
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Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 370-380, Melbourne, Australia, 2009. Springer.
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Huayang Xie and Mengjie Zhang.
An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms. In
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Proceedings of the 4th Australian Conference on Artificial Life (ACAL'09), volume 5865, pages 63-72, Melbourne, Australia, 2009. Springer.
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Urvesh Bhowan and Mark Johnston and Mengjie Zhang.
Differentiating Between Individual Class Performance in Genetic Programming Fitness for Classification with Unbalanced Data. In
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2009 IEEE Congress on Evolutionary Computation, pages 2802-2809, Trondheim, Norway, 2009. IEEE Press.
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Urvesh Bhowan and Mengjie Zhang and Mark Johnston.
Genetic Programming for Image Classification with Unbalanced Data. In
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Barret Chin and Mengjie Zhang.
Object Detection Using Neural Networks and Genetic Programming. In
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Proceedings of EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Applications of Evolutionary Computing, EvoWorkshops, volume 4974, pages 335-340, Naples, 2008. Springer.
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Kourosh Neshatian and Mengjie Zhang.
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. In
Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors,
Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 242-253, Naples, 2008. Springer.
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Huayang Xie and Mengjie Zhang and Peter Andreae and Mark Johnson.
An analysis of multi-sampled issue and no-replacement tournament selection. In
Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors,
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1323-1330, Atlanta, GA, USA, 2008. ACM.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
An Analysis of the Distribution of Swapped Subtree Sizes in Tree-based Genetic Programming. In
Jun Wang editor,
2008 IEEE World Congress on Computational Intelligence, pages 2859-2866, Hong Kong, 2008. IEEE Press.
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Huayang Xie and Mengjie Zhang and Peter Andreae and Mark Johnston.
Is the Not-Sampled Issue in Tournament Selection Critical?. In
Jun Wang editor,
2008 IEEE World Congress on Computational Intelligence, pages 3710-3717, Hong Kong, 2008. IEEE Press.
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Phillip Wong and Mengjie Zhang.
SCHEME: Caching Subtrees in Genetic Programming. In
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2008 IEEE World Congress on Computational Intelligence, pages 2678-2685, Hong Kong, 2008. IEEE Press.
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Will Smart and Mengjie Zhang.
Empirical Analysis of Schemata in Genetic Programming using Maximal Schemata and MSG. In
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2008 IEEE World Congress on Computational Intelligence, pages 2983-2990, Hong Kong, 2008. IEEE Press.
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Kourosh Neshatian and Mengjie Zhang.
Genetic Programming for Performance Improvement and Dimensionality Reduction of Classification Problems. In
Jun Wang editor,
2008 IEEE World Congress on Computational Intelligence, pages 2811-2818, Hong Kong, 2008. IEEE Press.
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H. Evans and Mengjie Zhang.
Particle swarm optimisation for object classification. In
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Kourosh Neshatian and Mengjie Zhang and Peter Andreae.
Genetic Programming for Feature Ranking in Classification Problems. In
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Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL '08), volume 5361, pages 544-554, Melbourne, Australia, 2008. Springer.
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David Kinzett and Mengjie Zhang and Mark Johnston.
Using Numerical Simplification to Control Bloat in Genetic Programming. In
Xiaodong Li and Michael Kirley and Mengjie Zhang and David G. Green and Victor Ciesielski and Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and Kalyanmoy Deb and Kay Chen Tan and J\"urgen Branke and Yuhui Shi editors,
Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL '08), volume 5361, pages 493-502, Melbourne, Australia, 2008. Springer.
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Mengjie Zhang and Christopher Graeme Fogelberg.
Genetic Programming for Image Recognition: An LGP Approach. In
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Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog, volume 4448, pages 340-350, Valencia, Spain, 2007. Springer Verlag.
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Will Smart and Peter Andreae and Mengjie Zhang.
Empirical Analysis of GP Tree-Fragments. In
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Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 55-67, Valencia, Spain, 2007. Springer.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
An Analysis of Depth of Crossover Points in Tree-Based Genetic Programming. In
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2007 IEEE Congress on Evolutionary Computation, pages 4561-4568, Singapore, 2007. IEEE Press.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Genetic Programming for New Zealand CPI Inflation Prediction. In
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2007 IEEE Congress on Evolutionary Computation, pages 2538-2545, Singapore, 2007. IEEE Press.
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Phillip Wong and Mengjie Zhang.
Effects of Program Simplification on Simple Building Blocks in Genetic Programming. In
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2007 IEEE Congress on Evolutionary Computation, pages 1570-1577, Singapore, 2007. IEEE Press.
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Krzysztof Krawiec and Daniel Howard and Mengjie Zhang.
Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques. In
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Grant Patterson and Mengjie Zhang.
Fitness Functions in Genetic Programming for Classification with Unbalanced Data. In
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Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, pages 769-775, Gold Coast, Australia, 2007. Springer.
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Kourosh Neshatian and Mengjie Zhang and Mark Johnston.
Feature Construction and Dimension Reduction Using Genetic Programming. In
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Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, volume 4830, pages 160-170, Gold Coast, Australia, 2007. Springer.
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Phillip Lee-Ming Wong and Mengjie Zhang.
Numerical-node building block analysis of genetic programming with simplification. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
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details
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Huayang Xie and Mengjie Zhang and Peter Andreae.
An analysis of constructive crossover and selection pressure in genetic programming. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1739-1748, London, 2007. ACM Press.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Another investigation on tournament selection: modelling and visualisation. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1468-1475, London, 2007. ACM Press.
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Mengjie Zhang and Malcolm Lett.
Localisation Fitness in GP for Object Detection. In
Franz Rothlauf and Jurgen Branke and Stefano Cagnoni and Ernesto Costa and Carlos Cotta and Rolf Drechsler and Evelyne Lutton and Penousal Machado and Jason H. Moore and Juan Romero and George D. Smith and Giovanni Squillero and Hideyuki Takagi editors,
Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, volume 3907, pages 472-483, Budapest, 2006. Springer Verlag.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Genetic Programming for Automatic Stress Detection in Spoken English. In
Franz Rothlauf and Jurgen Branke and Stefano Cagnoni and Ernesto Costa and Carlos Cotta and Rolf Drechsler and Evelyne Lutton and Penousal Machado and Jason H. Moore and Juan Romero and George D. Smith and Giovanni Squillero and Hideyuki Takagi editors,
Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, volume 3907, pages 460-471, Budapest, 2006. Springer Verlag.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Population Clustering in Genetic Programming. In
Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors,
Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 190-201, Budapest, Hungary, 2006. Springer.
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Mengjie Zhang and Urvesh Bhowan and Bunna Ny.
Genetic Programming for Object Detection. In
John Morris and Patrice Delmas editors,
Twenty-first International Conference Image and Vision Computing New Zealand, IVCNZ 2006, pages 425-430, Great Barrier Island, New Zealand, 2006.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
Looseness Controlled Crossover in GP for Object Recognition. In
Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors,
Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 4428-4435, Vancouver, 2006. IEEE Press.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Automatic Selection Pressure Control in Genetic Programming. In
Bo Yang and Yuehui Chen editors,
6th International Conference on Intelligent System Design and Applications, pages 435-440, Jinan Nanjiao Hotel, Jinan, China, 2006. IEEE.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. In
Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 9211-9218, Vancouver, 2006. IEEE Press.
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Mengjie Zhang and Phillip Wong and Dongping Qian.
Online Program Simplification in Genetic Programming. In
Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and Xufa Wang and Hussein A. Abbass and Hitoshi Iba and Guoliang Chen and Xin Yao editors,
Simulated Evolution and Learning, Proceedings 6th International Conference, SEAL 2006, volume 4247, pages 592-600, Hefei, China, 2006. Springer.
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Mengjie Zhang and Malcolm Lett and Yuejin Ma.
Refining Fitness Functions and Optimising Training Data in GP for Object Detection. In
Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and Xufa Wang and Hussein A. Abbass and Hitoshi Iba and Guoliang Chen and Xin Yao editors,
Simulated Evolution and Learning, Proceedings 6th International Conference, SEAL 2006, volume 4247, pages 601-608, Hefei, China, 2006. Springer.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou and Dongping Qian.
Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition. In
Qiang Yang and Geoffrey I. Webb editors,
PRICAI 2006: Trends in Artificial Intelligence, Proceedings 9th Pacific Rim International Conference on Artificial Intelligence, volume 4099, pages 923-928, Guilin, China, 2006. Springer.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
GP for Object Classification: Brood Size in Brood Recombination Crossover. In
Abdul Sattar and Byeong Ho Kang editors,
Australian Conference on Artificial Intelligence, volume 4304, pages 274-284, Hobart, Australia, 2006. Springer.
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Phillip Wong and Mengjie Zhang.
Algebraic simplification of GP programs during evolution. In
Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors,
GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 927-934, Seattle, Washington, USA, 2006. ACM Press.
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Mengjie Zhang and Will Smart.
Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition. In
Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero editors,
Applications of Evolutionary Computing, EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3449, pages 417-427, Lausanne, Switzerland, 2005. Springer Verlag.
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William Smart and Mengjie Zhang.
Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. In
Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors,
Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 227-239, Lausanne, Switzerland, 2005. Springer.
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Mengjie Zhang and Yun Zhang and Will Smart.
Program Simplification in Genetic Programming for Object Classification. In
Rajiv Khosla and Robert J. Howlett and Lakhmi C. Jain editors,
Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Proceedings, Part III, volume 3683, pages 988-996, Melbourne, Australia, 2005. Springer.
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Christopher Fogelberg and Mengjie Zhang.
Linear Genetic Programming for Multi-class Object Classification. In
Shichao Zhang and Ray Jarvis editors,
AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings, volume 3809, pages 369-379, Sydney, Australia, 2005. Springer.
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Guang Chen and Mengjie Zhang.
Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems. In
Shichao Zhang and Ray Jarvis editors,
AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings, volume 3809, pages 1079-1085, Sydney, Australia, 2005. Springer.
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Mengjie Zhang and Will Smart.
Multiclass Object Classification Using Genetic Programming. In
Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors,
Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 369-378, Coimbra, Portugal, 2004. Springer Verlag.
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Mengjie Zhang and Will Smart.
Genetic Programming with Gradient Descent Search for Multiclass Object Classification. In
Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors,
Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 399-408, Coimbra, Portugal, 2004. Springer-Verlag.
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Mengjie Zhang and Urvesh Bhowan.
Program Size and Pixel Statistics in Genetic Programming for Object Detection. In
Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors,
Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 379-388, Coimbra, Portugal, 2004. Springer Verlag.
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Will Smart and Mengjie Zhang.
Probability Based Genetic Programming for Multiclass Object Classification. In
Chengqi Zhang and Hans W. Guesgen and Wai-Kiang Yeap editors,
PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, volume 3157, pages 251-261, Auckland, New Zealand, 2004. Springer.
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Mengjie Zhang and Peter Andreae and Urvesh Bhowan.
A Two Phase Genetic Programming Approach to Object Detection. In
Mircea Gh. Negoita and Robert J. Howlett and Lakhmi C. Jain editors,
Proceedings of 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004. Part III, volume 3215, pages 224-231, Wellington, New Zealand, 2004. Springer.
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Yun Zhang and Mengjie Zhang.
A Multiple-Output Program Tree Structure in Genetic Programming. In
R I Mckay and Sung-Bae Cho editors,
Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, page 12pp, Cairns, Australia, 2004.
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Will Smart and Mengjie Zhang.
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition. In
James Hogan and Paul Montague and Martin Purvis and Chris Steketee editors,
CRPIT '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, volume 32 no. 7, pages 133-138, Dunedin, New Zealand, 2004. Australian Computer Society, Inc..
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Yun Zhang and Mengjie Zhang.
A New Program Structure in Genetic Programming for Object Classification. In
David Pairman and Heather North and Stephen McNeill editors,
Proceeding of Image and Vision Computing NZ International Conference, pages 459-465, Akaroa, New Zealand, 2004. Lincoln, Landcare Research.
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Will Smart and Mengjie Zhang.
Tracking Object Positions in Real-time Video using Genetic Programming. In
David Pairman and Heather North and Stephen McNeill editors,
Proceeding of Image and Vision Computing International Conference, pages 113-118, Akaroa, New Zealand, 2004. Lincoln, Landcare Research.
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Will Smart and Mengjie Zhang.
Continuously Evolving Programs in Genetic Programming using Gradient Descent. In
R I Mckay and Sung-Bae Cho editors,
Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, page 16pp, Cairns, Australia, 2004.
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Malcolm Lett and Mengjie Zhang.
New Fitness Functions in Genetic Programming for Object Detection. In
David Pairman and Heather North and Stephen McNeill editors,
Proceeding of Image and Vision Computing International Conference, pages 441-446, Akaroa, New Zealand, 2004. Lincoln, Landcare Research.
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Mengjie Zhang and Peter Andreae and Mark Pritchard.
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection. In
G\"unther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf editors,
Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611, pages 455-466, University of Essex, UK, 2003. Springer-Verlag.
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Will R. Smart and Mengjie Zhang.
Classification Strategies for Image Classification in Genetic Programming. In
Donald Bailey editor,
Proceeding of Image and Vision Computing NZ International Conference, pages 402-407, Palmerston North, New Zealand, 2003. Massey University.
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Mengjie Zhang and Victor Ciesielski.
Genetic Programming for Multiple Class Object Detection. In
Norman Foo editor,
12th Australian Joint Conference on Artificial Intelligence, volume 1747, pages 180-192, Sydney, Australia, 1999. Springer-Verlag.
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Genetic Programming book chapters by Mengjie Zhang
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Qi Chen and Bing Xue and Will Browne and Mengjie Zhang.
Evolutionary Regression and Modelling. In
Wolfgang Banzhaf and Penousal Machado and Mengjie Zhang editors,
Handbook of Evolutionary Machine Learning, pages 121-149. Springer Nature, Singapore, 2023.
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Yi Mei and Mazhar Ansari Ardeh and Mengjie Zhang.
Knowledge Transfer in Genetic Programming Hyper-heuristics. In
Nelishia Pillay and Rong Qu editors,
Automated Design of Machine Learning and Search Algorithms, pages 149-169. Springer, 2021.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Genetic Programming for Job Shop Scheduling. In
Jagdish Chand Bansal and Pramod Kumar Singh and Nikhil R. Pal editors,
Evolutionary and Swarm Intelligence Algorithms, volume 779 of Studies in Computational Intelligence, chapter 8, pages 143-167. Springer, 2019.
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Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan.
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach. In
A. Sima Uyar and Ender Ozcan and Neil Urquhart editors,
Automated Scheduling and Planning, volume 505 of Studies in Computational Intelligence, pages 251-282. Springer, 2013.
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Mengjie Zhang and Mark Johnston.
A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification. In
Stefano Cagnoni editor,
Evolutionary Image Analysis and Signal Processing, volume 213 of Studies in Computational Intelligence, pages 55-72. Springer, Berlin / Heidelberg, 2009.
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Mengjie Zhang.
Genetic Programming Techniques for Multiclass Object Recognition. In
Stefano Cagnoni and Evelyne Lutton and Gustavo Olague editors,
Genetic and Evolutionary Computation for Image Processing and Analysis, chapter 17, pages 349-370. Hindawi Publishing Corporation, 2007.
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Genetic Programming technical reports by Mengjie Zhang
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Huayang Xie and Mengjie Zhang.
Tuning Selection Pressure in Tournament Selection. Technical report,
ECSTR-09-10,
School of Engineering and Computer Science. Victoria University of Wellington, New Zealand, 2009.
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Mark Johnston and Thomas Liddle and Mengjie Zhang.
A Linear Regression Approach to Numerical Simplification in Tree-Based Genetic Programming. Research report ,
09-7,
School of Mathematics Statistics and Operations Research, Victoria University of Wellington, New Zealand, 2009.
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Barret Chin and Mengjie Zhang.
Object Detection using Neural Networks and Genetic Programming. Technical report ,
CS-TR-07-3,
Computer Science, Victoria University of Wellington, New Zealand, 2007.
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Not-Sampled Issue and Round-Replacement Tournament Selection. Technical report ,
CS-TR-07-2,
Computer Science, Victoria University of Wellington, New Zealand, 2007.
details
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Mengjie Zhang and Malcolm Lett.
Improving Fitness Function and Optimising Training Data in GP for Object Detection. Technical report,
CS-TR-06-8,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Phillip Wong and Mengjie Zhang.
Algebraic Simplification of Genetic Programs during Evolution. Technical report,
CS-TR-06-7,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Mengjie Zhang and Xiaoying Gao and Minh Duc Cao.
Experiments on Brood Size in GP with Brood Recombination Crossover for Object Recognition. Technical report,
CS-TR-06-6,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Huayang Xie and Mengjie Zhang and Peter Andreae.
Genetic Programming for Automatic Stress Detection in Spoken English. Technical report,
CS-TR-06-4,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Huayang Xie and Mengjie Zhang and Peter Andreae.
A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. Technical report,
CS-TR-06-3,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
A New Crossover Operator in GP for Object Classification. Technical report,
CS-TR-06-2,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Phillip Wong and Mengjie Zhang.
Numerical-node building block analysis of genetic programming with simplification. Technical report,
CS-TR-06-15,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
details
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Christopher Fogelberg and Mengjie Zhang.
VUWLGP - An ANSI C++ Linear Genetic Programming Package. Technical report,
CS-TR-05/8,
MSCS, Victoria University of Wellington, New Zealand, 2005.
details
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Mengjie Zhang and Will Smart.
Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification. Technical report,
CS-TR-05-5,
Computer Science, Victoria University of Wellington, New Zealand, 2005.
details
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Will Smart and Mengjie Zhang.
Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. Technical report,
CS-TR-05-1,
Computer Science, Victoria University of Wellington, New Zealand, 2005.
details
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Will Smart and Mengjie Zhang.
Probability Based Genetic Programming for Multiclass Object Classification. Technical report,
CS-TR-04-7,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Mengjie Zhang and Peter Andreae and Urvesh Bhowan.
A Two Phase Genetic Programming Approach to Object Detection. Technical report,
CS-TR-04-6,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Mengjie Zhang and Urvesh Bhowan.
Pixel Statistics and Program Size in Genetic Programming for Object Detection. Technical report,
CS-TR-04-3,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Mengjie Zhang and Will Smart.
Multiclass Object Classification Using Genetic Programming. Technical report,
CS-TR-04-2,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Yun Zhang and Mengjie Zhang.
A Multiple-Output Program Tree Structure in Genetic Programming. Technical report,
CS-TR-04-14,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Will Smart and Mengjie Zhang.
Tracking Object Positions in Real-time Video using Genetic Programming. Technical report,
CS-TR-04-13,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Malcolm Lett and Mengjie Zhang.
New Fitness Functions in Genetic Programming for Object Detection. Technical report,
CS-TR-04-12,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Will Smart and Mengjie Zhang.
Evolving Weights in Genetic Programs Using Gradient Descent. Technical report,
CS-TR-04-11,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Will Smart and Mengjie Zhang.
Continuously Evolving Programs in Genetic Programming Using Gradient Descent. Technical report,
CS-TR-04-10,
Computer Science, Victoria University of Wellington, New Zealand, 2004.
details
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Will Smart and Mengjie Zhang.
Applying Online Gradient Descent Search to Genetic Programming. Technical report,
CS-TR-03-13,
Computer Science, Victoria University of Wellington, New Zealand, 2003.
details
Genetic Programming other entries for Mengjie Zhang