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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Veröffentlicht in:Neurocomputing (Amsterdam) Jg. 598; S. 128043
Hauptverfasser: Soloviev, Vicente P., Larrañaga, Pedro, Bielza, Concha
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 14.09.2024
Schlagworte:
Bayesian network
Benchmarking
Estimation of distribution algorithm
Evolutionary algorithm
Benchmarking
Bayesian network
Evolutionary algorithm
Estimation of distribution algorithm
ISSN:0925-2312, 1872-8286
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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, allowing for easy extension and the selection of different alternatives, as well as interoperability with new components. EDAspy is totally free and open-source under the MIT license.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2024.128043