Estimation-of-distribution algorithms for multi-valued decision variables

The majority of research on estimation-of-distribution algorithms (EDAs) concentrates on pseudo-Boolean optimization and permutation problems, leaving the domain of EDAs for problems in which the decision variables can take more than two values, but which are not permutation problems, mostly unexplo...

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Vydané v:	Theoretical computer science Ročník 1003; s. 114622 - 114622:16
Hlavní autori:	Ben Jedidia, Firas, Doerr, Benjamin, Krejca, Martin S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2024 Elsevier
Predmet:	Computer Science Estimation-of-distribution algorithms Evolutionary algorithms Genetic drift LeadingOnes benchmark Neural and Evolutionary Computing Univariate marginal distribution algorithm LeadingOnes benchmark Genetic drift Estimation-of-distribution algorithms Evolutionary algorithms Univariate marginal distribution algorithm univariate marginal distribution algorithm estimation-of-distribution algorithms genetic drift evolutionary algorithms
ISSN:	0304-3975, 1879-2294
On-line prístup:	Získať plný text
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