Počet záznamů: 1
Interaction between Model and its Evolution Control in Surrogate-assisted CMA Evolution Strategy
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SYSNO ASEP 0557942 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Interaction between Model and its Evolution Control in Surrogate-assisted CMA Evolution Strategy Tvůrce(i) Pitra, Z. (CZ)
Hanuš, M. (CZ)
Koza, J. (CZ)
Tumpach, Jiří (UIVT-O) ORCID, SAI
Holeňa, Martin (UIVT-O) SAI, RIDCelkový počet autorů 5 Zdroj.dok. Proceedings Of The 2021 Genetic And Evolutionary Computation Conference (Gecco'21). - New York : Association for Computing Machinery, 2021 / Chicano F. - ISBN 978-1-4503-8350-9 Rozsah stran s. 528-536 Poč.str. 9 s. Forma vydání Tištěná - P Akce Gecco 2021: Genetic and Evolutionary Computation Conference Datum konání 10.07.2021 - 14.07.2021 Místo konání Lille / Online Země FR - Francie Typ akce WRD Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova black-box optimization ; evolutionary optimization ; surrogate modelling ; evolution control ; CMA-ES Obor OECD Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) CEP GA18-18080S GA ČR - Grantová agentura ČR Institucionální podpora UIVT-O - RVO:67985807 UT WOS 000773791800063 EID SCOPUS 85110159996 DOI 10.1145/3449639.3459358 Anotace Surrogate regression models have been shown as a valuable technique in evolutionary optimization to save evaluations of expensive black-box objective functions. Each surrogate modelling method has two complementary components: the employed model and the control of when to evaluate the model and when the true objective function, aka evolution control. They are often tightly interconnected, which causes difficulties in understanding the impact of each component on the algorithm performance. To contribute to such understanding, we analyse what constitutes the evolution control of three surrogate-assisted versions of the state-of-the-art algorithm for continuous black-box optimization --- the Covariance Matrix Adaptation Evolution Strategy. We implement and empirically compare all possible combinations of the regression models employed in those methods with the three evolution controls encountered in them. An experimental investigation of all those combinations allowed us to asses the influence of the models and their evolution control separately. The experiments are performed on the noiseless and noisy benchmarks of the Comparing-Continuous-Optimisers platform and a real-world simulation benchmark, all in the expensive scenario, where only a small budget of evaluations is available. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2023 Elektronická adresa http://dx.doi.org/10.1145/3449639.3459358
Počet záznamů: 1