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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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 598; p. 128043
Main Authors:	Soloviev, Vicente P., Larrañaga, Pedro, Bielza, Concha
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 14.09.2024
Subjects:	Bayesian network Benchmarking Estimation of distribution algorithm Evolutionary algorithm Benchmarking Bayesian network Evolutionary algorithm Estimation of distribution algorithm
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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