EDAspy: An extensible python package for estimation of distribution algorithms

Estimation of distribution algorithms (EDAs) are a type of evolutionary algorithms where a probabilistic model is learned and sampled in each iteration. EDAspy provides different state-of-the-art implementations of EDAs including the recent semiparametric EDA. The implementations are modularly built...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 598; s. 128043
Hlavní autori:	Soloviev, Vicente P., Larrañaga, Pedro, Bielza, Concha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 14.09.2024
Predmet:	Bayesian network Benchmarking Estimation of distribution algorithm Evolutionary algorithm Benchmarking Bayesian network Evolutionary algorithm Estimation of distribution algorithm
ISSN:	0925-2312, 1872-8286
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