Bivariate estimation-of-distribution algorithms can find an exponential number of optima

Finding a large set of optima in a multimodal optimization landscape is a challenging task. Classical population-based evolutionary algorithms typically converge only to a single solution. While this can be counteracted by applying niching strategies, the number of optima is nonetheless trivially bo...

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Vydané v:	Theoretical computer science Ročník 971; s. 114074
Hlavní autori:	Doerr, Benjamin, Krejca, Martin S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 06.09.2023 Elsevier
Predmet:	Computer Science Estimation-of-distribution algorithms Multimodal optimization Probabilistic model building Multimodal optimization Probabilistic model building Estimation-of-distribution algorithms multimodal optimization probabilistic model building estimation-of-distribution algorithms estimation-of-distribution algorithms probabilistic model building multimodal optimization
ISSN:	0304-3975, 1879-2294
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