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Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes., , , и . GECCO Companion, стр. 2322-2325. ACM, (2022)Characterizing the Effects of Random Subsampling on Lexicase Selection., , , , , и . GPTP, стр. 1-23. Springer, (2019)Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics., , и . CoRR, (2024)Lexidate: Model Evaluation and Selection with Lexicase., , и . GECCO Companion, стр. 279-282. ACM, (2024)Random subsampling improves performance in lexicase selection., , , и . GECCO (Companion), стр. 2028-2031. ACM, (2019)Phylogenetic diversity predicts future success in evolutionary computation., , и . GECCO Companion, стр. 23-24. ACM, (2022)Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection., , , и . GPTP, стр. 241-261. Springer, (2023)Measuring the ability of lexicase selection to find obscure pathways to optimality., , и . GECCO Companion, стр. 21-22. ACM, (2022)An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality., , и . GPTP, стр. 83-107. Springer, (2021)What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?, , и . GPTP, стр. 63-82. Springer, (2021)