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Towards explainable metaheuristic: mining surrogate fitness models for importance of variables.

, , и . GECCO Companion, стр. 1785-1793. ACM, (2022)

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I -E Sophie Müller

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Alexander E Krebs

 

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Multi-objective evolutionary design of antibiotic treatments., , , и . Artif. Intell. Medicine, (2020)Metaheuristic Design Pattern: Surrogate Fitness Functions., , и . GECCO (Companion), стр. 1261-1264. ACM, (2015)A multi-objective window optimisation problem., , и . GECCO (Companion), стр. 89-90. ACM, (2011)Structure learning and optimisation in a Markov-network based estimation of distribution algorithm., , , и . IEEE Congress on Evolutionary Computation, стр. 447-454. IEEE, (2009)Evaluating Explanations for Software Patches Generated by Large Language Models., , , , , , , , и . SSBSE, том 14415 из Lecture Notes in Computer Science, стр. 147-152. Springer, (2023)The Use of Automatic Test Data Generation for Genetic Improvement in a Live System., , и . SBST@ICSE, стр. 28-31. IEEE, (2017)Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming., , и . GECCO (Companion), стр. 1357-1358. ACM, (2016)Gin: genetic improvement research made easy., , , , , и . GECCO, стр. 985-993. ACM, (2019)Generating Easy and Hard Problems using the Proximate Optimality Principle., , и . GECCO (Companion), стр. 767-768. ACM, (2015)Updating Gin's profiler for current Java., и . GI, стр. 23-28. IEEE, (2023)