Genetic Programming Bibliography entries for Barry Porter

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GP coauthors/coeditors: Benjamin J Craine, Penelope Faulkner Rainford, Christopher McGowan, Alexander Wild, Zsolt Nemeth, Roberto Rodrigues Filho,

Genetic Programming Articles by Barry Porter

Genetic Programming conference papers by Barry Porter

  1. Zsolt Nemeth and Penn Faulkner Rainford and Barry Porter. Ecosystem Curation in Genetic Improvement for Emergent Software Systems. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and and and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, Lisbon, 2024. ACM. Best position paper. details

  2. Benjamin J. Craine and Penn Faulkner Rainford and Barry Porter. Human Guidance Approaches for the Genetic Improvement of Software. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and and and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, Lisbon, 2024. ACM. details

  3. Penny Rainford and Barry Porter. Using Phylogenetic Analysis to Enhance Genetic Improvement. 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 849-857, Boston, USA, 2022. Association for Computing Machinery. details

  4. Penny Faulkner Rainford and Barry Porter. Lineage Selection in Mixed Populations for Genetic Improvement. In Silvia Holler editor, 2022 Conference on Artificial Life, online, 2022. Massachusetts Institute of Technology. details

  5. 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. details

  6. Penelope Faulkner Rainford and Barry Porter. Open Challenges in Genetic Improvement for Emergent Software Systems. In Justyna Petke and Bobby R. Bruce and Yu Huang and Aymeric Blot and Westley Weimer and W. B. Langdon editors, GI @ ICSE 2021, pages 43-44, internet, 2021. IEEE. details

  7. 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. details

  8. 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. details

  9. 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. details