Genetic Programming Bibliography entries for Nelishia Pillay
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GP coauthors/coeditors:
Wolfgang Banzhaf,
Tatenda Chareka,
Emmanuel Dufourq,
Clive Frankland,
Mia Gerber,
Kevin C Igwe,
Christopher Rae,
Rahul Kapoor,
Cry Kuranga,
Thulani Mashiane,
George Mweshi,
Amashini Naidoo,
Thambo Nyathi,
Derrick Beckedahl,
Ender Ozcan,
Rong Qu,
Kyle Pretorius,
Anisa Waganda Ragalo,
Rushil Raghavjee,
Jeffrey Russell,
Darius Scheepers,
Emilio Singh,
Genetic Programming Articles by Nelishia Pillay
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Kyle Pretorius and Nelishia Pillay.
Neural network crossover in genetic algorithms using genetic programming.
Genetic Programming and Evolvable Machines, 25:Article no 7, 2024.
Online first.
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Rahul Kapoor and Nelishia Pillay.
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation.
Genetic Programming and Evolvable Machines, 25:Article no 10, 2024.
Online first.
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George Mweshi and Nelishia Pillay.
An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems.
Expert Systems with Applications, 165:113853, 2021.
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Cry Kuranga and Nelishia Pillay.
Genetic programming-based regression for temporal data.
Genetic Programming and Evolvable Machines, 22(3):297-324, 2021.
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Nelishia Pillay.
The impact of genetic programming in education.
Genetic Programming and Evolvable Machines, 21(1-2):87-97, 2020.
Twentieth Anniversary Issue.
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Nelishia Pillay and Ender Ozcan.
Automated generation of constructive ordering heuristics for educational timetabling.
Annals of Operations Research, 275(1):181-208, 2019.
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Anisa W. Ragalo and Nelishia Pillay.
An investigation of dynamic fitness measures for genetic programming.
Expert Systems with Applications, 92:52-72, 2018.
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Anisa Ragalo and Nelishia Pillay.
Evolving Dynamic Fitness Measures for Genetic Programming.
Expert Systems with Applications, 109:162-187, 2018.
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Thambo Nyathi and Nelishia Pillay.
Comparison of a Genetic Algorithm to Grammatical Evolution for Automated Design of Genetic Programming Classification Algorithms.
Expert System with Applications, 104:213-234, 2018.
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Anisa W. Ragalo and Nelishia Pillay.
Improved evolvability in genetic programming with polyandry.
South African Computer Journal, 51:22-43, 2013.
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Wolfgang Banzhaf and Nelishia Pillay.
Why Complex Systems Engineering needs Biological Development.
Complexity, 13(2):12-21, 2007.
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Genetic Programming Books by Nelishia Pillay
Genetic Programming PhD doctoral thesis Nelishia Pillay
Genetic Programming conference papers by Nelishia Pillay
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Nelishia Pillay.
Transfer Learning in Evolutionary Spaces. In
Mengjie Zhang and Emma Hart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 1005-1016, Melbourne, Australia, 2024. Association for Computing Machinery.
Tutorial.
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Mia Gerber and Nelishia Pillay.
Dynamic Function Generation for Text Classification. In
Bing Xue editor,
2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE.
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Jeffrey Russell and Nelishia Pillay.
A Selection Hyper-Heuristic for Transfer Learning in 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 631-634, Lisbon, Portugal, 2023. Association for Computing Machinery.
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Cry Kuranga and Nelishia Pillay.
A Comparative Study of Genetic Programming Variants. In
Artificial Intelligence and Soft Computing, 2023. Springer.
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Rahul Kapoor and Nelishia Pillay.
Iterative Structure-Based Genetic Programming for Neural Architecture Search. 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 595-598, Lisbon, Portugal, 2023. Association for Computing Machinery.
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Mia Gerber and Nelishia Pillay.
An Analysis of Choice Functions for Fuzzy ART Using Grammatical Evolution. 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 571-574, Lisbon, Portugal, 2023. Association for Computing Machinery.
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Emilio Singh and Nelishia Pillay.
A Study of Transfer Learning in an Ant-Based Generation Construction Hyper-Heuristic. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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Darius Scheepers and Nelishia Pillay.
A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing. In
2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, 2021.
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Thambo Nyathi and Nelishia Pillay.
On the Transfer Learning of Genetic Programming Classification Algorithms. In
Claus Aranha and Carlos Martin-Vide and Miguel A. Vega-Rodriguez editors,
Theory and Practice of Natural Computing - 10th International Conference, TPNC 2021, volume 13082, pages 47-58, Tsukuba, Japan, 2021. Springer.
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Kyle Pretorious and Nelishia Pillay.
A Comparative Study of Classifiers for Thumbnail Selection. In
2020 International Joint Conference on Neural Networks (IJCNN), 2020.
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George Mweshi and Nelishia Pillay.
A Grammatical Evolution Approach for the Automated Generation of Perturbative Heuristics. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2642-2648, Wellington, New Zealand, 2019. IEEE Press.
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Thambo Nyathi and Nelishia Pillay.
Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms. In
David Fagan and Carlos Martin-Vide and Michael O'Neill and Miguel A. Vega-Rodriguez editors,
7th International Conference Theory and Practice of Natural Computing, TPNC 2018, volume 11324, Dublin, Ireland, 2018. Springer.
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Nelishia Pillay and Derrick Beckedahl.
EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics. In
Jose A. Lozano editor,
2017 IEEE Congress on Evolutionary Computation (CEC), pages 2706-2713, Donostia, San Sebastian, Spain, 2017. IEEE.
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Thambo Nyathi and Nelishia Pillay.
Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm. In
Giovanni Squillero editor,
20th European Conference on the Applications of Evolutionary Computation, volume 10200, pages 224-239, Amsterdam, 2017. Springer.
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Nelishia Pillay.
Evolving Construction Heuristics for the Curriculum Based University Course Timetabling Problem. In
Yew-Soon Ong editor,
Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 4437-4443, Vancouver, 2016. IEEE Press.
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Tatenda Chareka and Nelishia Pillay.
A study of fitness functions for data classification using grammatical evolution. In
2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016.
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Kevin Igwe and Nelishia Pillay.
A Study of Genetic Programming and Grammatical Evolution for Automatic Object-Oriented Programming: A Focus on the List Data Structure. In
Nelishia Pillay and Andries P. Engelbrecht and Ajith Abraham and Mathys C. du Plessis and Vaclav Snasel and Azah Kamilah Muda editors,
Advances in Nature and Biologically Inspired Computing: Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), volume 419, pages 151-163, Pietermaritzburg, South Africa, 2015. Springer.
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Clive Frankland and Nelishia Pillay.
Evolving game playing strategies for Othello. In
IEEE Congress on Evolutionary Computation (CEC), pages 1498-1504, 2015.
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Anisa Ragalo and Nelishia Pillay.
A Hyper-heuristic approach towards mitigating Premature Convergence caused by the objective fitness function in GP. In
14th International Conference on Intelligent Systems Design and Applications, pages 68-75, Okinawa, Japan, 2014. IEEE.
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Thulani Mashiane and Nelishia Pillay.
Genetic Programming for Password Cracking, Phase One: Grammar Induction. In
Martin Puttkammer and Roald Eiselen editors,
Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, pages 176-182, Cape Town, South Africa, 2014. Pattern Recognition Association of South Africa (PRASA).
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Kevin Igwe and Nelishia Pillay.
A Comparative Study of Genetic Programming and Grammatical Evolution for Evolving Data Structures. In
Martin Puttkammer and Roald Eiselen editors,
Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, pages 115-121, Cape Town, South Africa, 2014. Pattern Recognition Association of South Africa (PRASA).
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Emmanuel Dufourq and Nelishia Pillay.
Hybridizing evolutionary algorithms for creating classifier ensembles. In
Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), pages 84-90, 2014.
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Kevin Igwe and Nelishia Pillay and Christopher Rae.
Solving the 8-Puzzle Problem Using Genetic Programming. In
John McNeill and Karen L. Bradshaw and Philip Machanick and Mosiuoa Tsietsi editors,
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference, SAICSIT'13, pages 64-67, East London, South Africa, 2013. ACM.
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Kevin Igwe and Nelishia Pillay.
Automatic Programming Using Genetic Programming. In
Long Thanh Ngo and Ajith Abraham and Lam Thu Bui and Emilio Corchado and Choo Yun-Huoy and Kun Ma editors,
Proceedings of the 2013 Third World Congress on Information and Communication Technologies (WICT 2013), pages 337-342, Hanoi, Vietnam, 2013. IEEE.
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Emmanuel Dufourq and Nelishia Pillay.
A comparison of genetic programming representations for binary data classification. In
2013 Third World Congress on Information and Communication Technologies (WICT), pages 134-140, 2013.
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Emmanuel Dufourq and Nelishia Pillay.
Incorporating adaptive discretization into genetic programming for data classification. In
Third World Congress on Information and Communication Technologies (WICT), pages 127-133, 2013.
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Rushil Raghavjee and Nelishia Pillay.
A comparison of genetic algorithms and genetic programming in solving the school timetabling problem. In
Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC 2012), pages 98-103, Mexico City, 2012.
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Anisa W. Ragalo and Nelishia Pillay.
A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming. In
Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC 2012), pages 123-129, Mexico City, 2012. IEEE.
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Nelishia Pillay.
An analysis of representations for hyper-heuristics for the uncapacitated examination timetabling problem in a genetic programming system. In
Reinhardt A. Botha and Charmain Cilliers editors,
Proceedings of the 2008 Annual Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, SAICSIT 2008, volume 338, pages 188-192, Wilderness, South Africa, 2008. ACM.
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Amashini Naidoo and Nelishia Pillay.
Using Genetic Programming for Turing Machine Induction. 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 350-361, Naples, 2008. Springer.
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Amashini Naidoo and Nelishia Pillay.
The Induction of Finite Transducers Using Genetic Programming. In
Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors,
Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 371-380, Valencia, Spain, 2007. Springer.
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Nelishia Pillay and Wolfgang Banzhaf.
A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem. In
Jos\'e Neves and Manuel Filipe Santos and Jos\'e Machado editors,
13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, pages 223-234, Guimar\~aes, Portugal, 2007. Springer.
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Nelishia Pillay.
A Genetic Programming System for the Induction of Iterative Solution. In
Judith Bishop and Derrick Kourie editors,
Research for a Changing World: Proceedings of SAICSIT 2005, pages 111-113, White River, Mpumalanga, South Africa, 2005. SAICSIT.
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Nelishia Pillay.
An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems. In
Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors,
GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1781-1782, Washington DC, USA, 2005. ACM Press.
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Nelishia Pillay.
Evolving Solutions to ASCII Graphics Programming Problems in Intelligent Programming Tutors. In
Rajendra Akerkar editor,
International Conference on Applied Artificial Intelligence (ICAAI'2003), pages 236-243, Fort Panhala, Kolhapur, India, 2003. TMRF.
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Nelishia Pillay.
Using genetic programming for the induction of novice procedural programming solution algorithms. In
SAC '02: Proceedings of the 2002 ACM symposium on Applied computing, pages 578-583, Madrid, Spain, 2002. ACM Press.
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Nelishia Pillay.
A Genetic Programming System for the Induction of Novice Programming Problems in Intelligent Programming Tutors. In
Intech' 2001: 2nd International Conference on Intelligent Technologies, pages 180-192, Faculty of Science and Technology, Assumption University, Bangkok, Thailand, 2001.
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Genetic Programming book chapters by Nelishia Pillay