Genetic Programming Bibliography entries for Yi Mei

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GP coauthors/coeditors: Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yanan Sun, Binh Tran, Bing Xue, Mengjie Zhang, Mazhar Ansari Ardeh, Joao Guilherme Cavalcanti Costa, Alexandre Sawczuk da Silva, Hui Ma, Guanqiang Gao, Bin Xin, Ya-Hui Jia, Will N Browne, Zhixing Huang, Jinghui Zhong, Liang Feng, Wentong Cai, Fangfang Zhang, Jericho Jackson, Josiah Jacobsen-Grocott, Aaron Chen, Jackson Jericho, Deepak Karunakaran, Yuxin Liu, Zili Zhang, Jordan MacLachlan, Jurgen Branke, Atiya Masood, Xiaodong Li, Flora Salim, Xin Yao, Su Nguyen, Sai Panda, John Park, Michael Riley, Boxiong Tan, Shaolin Wang, Jing Xie, Andreas Ernst, Andy Song, Binzi Xu, Yan Wang, Zhicheng Ji, Meng Xu, Longfei Yan, Daniel Yska, Kay Chen Tan,

Genetic Programming Articles by Yi Mei

  1. 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. details

  2. 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. details

  3. 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. details

  4. 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. details

  5. 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. details

  6. 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. details

  7. 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. details

  8. Zhixing Huang and Jinghui Zhong and Liang Feng and Yi Mei and Wentong Cai. A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Comput., 24(10):7523-7539, 2020. details

  9. 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. details

  10. 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. details

  11. 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. details

  12. 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. details

  13. 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. details

  14. Guanqiang Gao and Yi Mei and Bin Xin and Ya-Hui Jia and Will N. Browne. Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation. IEEE Transactions on Cybernetics. details

  15. 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. Early Access. details

  16. 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. details

  17. 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. details

Genetic Programming Books by Yi Mei

Genetic Programming conference papers by Yi Mei

  1. 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. details

  2. 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. details

  3. 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. details

  4. 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. details

  5. 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. details

  6. 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. details

  7. 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. details

  8. 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. details

  9. Sai Panda and Yi Mei. Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 1848-1855, Krakow, Poland, 2021. details

  10. Jordan MacLachlan and Yi Mei. Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 1872-1879, Krakow, Poland, 2021. details

  11. 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. details

  12. Zhixing Huang and Yi Mei and Mengjie Zhang. Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021, 2021. IEEE. details

  13. 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. details

  14. 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. details

  15. 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. details

  16. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. In L. Paquete and C. Zarges editors, European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2020), volume 12102, pages 214-230, Seville, Spain, 2020. Springer Verlag. details

  17. Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang. A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem. In AI 2020: Advances in Artificial Intelligence, 2020. Springer. details

  18. Fangfang Zhang and Yi Mei and Su Nguyen and Mengjie Zhang. A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino 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 Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 107-108, internet, 2020. Association for Computing Machinery. details

  19. 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 Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 262-278, Seville, Spain, 2020. Springer Verlag. details

  20. Shaolin Wang and Yi Mei and Mengjie Zhang. Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2399-2406, 2020. details

  21. Shaolin Wang and Yi Mei and Mengjie Zhang. A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24334, internet, 2020. IEEE Press. details

  22. Jackson Jericho and Yi Mei. Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24536, internet, 2020. IEEE Press. details

  23. Jericho Jackson and Yi Mei. Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020. details

  24. Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang. A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2786-2793, 2020. details

  25. Mazhar Ansari Ardeh and Yi Mei and Mengjie Zhang. Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24067, internet, 2020. IEEE Press. details

  26. 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 A. Liefooghe and L. Paquete editors, The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2019, volume 11452, pages 33-49, 2019. Springer. details

  27. Fangfang Zhang and Yi Mei and Mengjie Zhang. A Two-stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling. 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 347-355, Prague, Czech Republic, 2019. ACM. details

  28. Fangfang Zhang and Yi Mei and Mengjie Zhang. Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 1366-1373, Wellington, New Zealand, 2019. IEEE Press. details

  29. Fangfang Zhang and Yi Mei and Mengjie Zhang. Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 41-48, Wellington, New Zealand, 2019. IEEE Press. details

  30. 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 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1606-1613, 2019. details

  31. Shaolin Wang and Yi Mei and Mengjie Zhang. Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem. 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 1093-1101, Prague, Czech Republic, 2019. ACM. details

  32. Boxiong Tan and Hui Ma and Yi Mei. A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2681-2688, Wellington, New Zealand, 2019. IEEE Press. details

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. Boxiong Tan and Hui Ma and Yi Mei. A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. In Tanja Mitrovic and Bing Xue and Xiaodong Li editors, Australasian Joint Conference on Artificial Intelligence, volume 11320, Wellington, New Zealand, 2018. Springer. details

  41. 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

  42. 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

  43. 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

  44. 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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