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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Vydáno v:Neurocomputing (Amsterdam) Ročník 598; s. 128043
Hlavní autoři: Soloviev, Vicente P., Larrañaga, Pedro, Bielza, Concha
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 14.09.2024
Témata:
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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Popis
Shrnutí: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