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...

Celý popis

Uložené v:
Podrobná bibliografia
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
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
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