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Enhancing Genetic Improvement Mutations Using Large Language Models.

, , , , , , , and . SSBSE, volume 14415 of Lecture Notes in Computer Science, page 153-159. Springer, (2023)

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On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming.. EuroGP, volume 12691 of Lecture Notes in Computer Science, page 130-145. Springer, (2021)On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis., , and . GECCO Companion, page 535-538. ACM, (2023)The Randomness of Input Data Spaces is an A Priori Predictor for Generalization., , and . CoRR, (2021)Effects of the Training Set Size: A Comparison of Standard and Down-Sampled Lexicase Selection in Program Synthesis., , and . CEC, page 1-8. IEEE, (2022)Challenges of Program Synthesis with Grammatical Evolution., and . EuroGP, volume 12101 of Lecture Notes in Computer Science, page 211-227. Springer, (2020)Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming., , and . CoRR, (2021)Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches., and . GECCO, page 1065-1074. ACM, (2019)Improving estimation of distribution genetic programming with novelty initialization., , , and . GECCO Companion, page 261-262. ACM, (2021)Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution., , , , and . GECCO Companion, page 331-332. ACM, (2021)Analyzing optimized constants in genetic programming on a real-world regression problem., , , and . GECCO Companion, page 606-607. ACM, (2022)