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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Veröffentlicht in:	Theoretical computer science Jg. 971; S. 114074
Hauptverfasser:	Doerr, Benjamin, Krejca, Martin S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 06.09.2023 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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