Genetic Programming Bibliography entries for Aidan Murphy
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Muhammad Sarmad Ali,
Douglas Mota Dias,
Jorge Luis Machado Do Amaral,
Allan De Lima,
Genetic Programming conference papers by Aidan Murphy
Aidan Murphy and Nuno Lourenco and Anthony Ventresque.
Initialisation in Structured Grammatical Evolution. In
Conor Ryan and Mahsa Mahdinejad and Aidan Murphy editors,
Grammatical Evolution Workshop - 25 years of GE, pages 2022-2028, Lisbon, Portugal, 2023. Association for Computing Machinery.
Aidan Murphy and Allan De Lima and Douglas Mota Dias and Conor Ryan.
Error and Correlation as Fitness Functions for Scaled Symbolic Regression in 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 607-610, Lisbon, Portugal, 2023. Association for Computing Machinery.
Aidan Murphy and Thomas Laurent and Anthony Ventresque.
The case for Grammatical Evolution in test generation. In
Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke editors,
GI @ GECCO 2022, pages 1946-1947, Boston, USA, 2022. Association for Computing Machinery.
Aidan Murphy and Grainne Murphy and Jorge Amaral and Douglas Mota Dias and Enrique Naredo and Conor Ryan.
Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution. In
Ting Hu and Nuno Lourenco and Eric Medvet editors,
EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 66-81, Virtual Event, 2021. Springer Verlag.
Muhammad Adil Raja and Aidan Murphy and Conor Ryan.
GELAB and Hybrid Optimization Using Grammatical Evolution. In
Cesar Analide and Paulo Novais and David Camacho and Hujun Yin editors,
Intelligent Data Engineering and Automated Learning, IDEAL 2020, Part I, volume 12489, pages 292-303, Guimaraes, Portugal, 2020. Springer.
Aidan Murphy and Muhammad Sarmad Ali and Douglas Mota Dias and Jorge Amaral and Enrique Naredo and Conor Ryan.
Grammar-based Fuzzy Pattern Trees for Classification Problems. In
Proceedings of the 12th International Joint Conference on Computational Intelligence - ECTA, pages 71-80, Online, 2020. SciTePress.
Best Student paper.
Aidan Murphy and Conor Ryan.
Improving Module Identification and Use in Grammatical Evolution. In
Yaochu Jin editor,
2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24431, internet, 2020. IEEE Press.