Genetic Programming Bibliography entries for Alexander Wild
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Christopher McGowan,
Barry Porter,
Roberto Rodrigues Filho,
Genetic Programming Articles by Alexander Wild
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Alexander Wild and Barry Porter.
Multi-donor Neural Transfer Learning for Genetic Programming.
ACM Transactions on Evolutionary Learning and Optimization, 2(4) 2022.
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Genetic Programming PhD doctoral thesis Alexander Wild
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Alexander Newton Wild.
Neural Network Guided Transfer Learning for Genetic Programming. PhD thesis,
Lancaster University, UK, 2023.
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Genetic Programming conference papers by Alexander Wild
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Alexander Wild and Barry Porter.
Neurally Guided Transfer Learning for Genetic Programming. 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 267-268, internet, 2021. Association for Computing Machinery.
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Alexander Wild and Barry Porter.
General Program Synthesis using Guided Corpus Generation and Automatic Refactoring. In
Shiva Nejati and Gregory Gay editors,
SSBSE 2019, volume 11664, pages 89-104, Tallinn, Estonia, 2019. Springer.
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Roberto Vito Rodrigues Filho and Alexander Wild and Barry Porter.
Code Synthesis in Self-Improving Software Systems. In
2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), pages 4-5, Umea, Sweden, 2019.
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Christopher McGowan and Alexander Wild and Barry Porter.
Experiments in Genetic Divergence for Emergent Systems. In
Justyna Petke and Kathryn Stolee and William B. Langdon and Westley Weimer editors,
GI-2018, ICSE workshops proceedings, pages 9-16, Gothenburg, Sweden, 2018. ACM.
Best Paper.
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