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...

Full description

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2024-09, Vol.598, p.128043, Article 128043
Main Authors: Soloviev, Vicente P., Larrañaga, Pedro, Bielza, Concha
Format: Article
Language:English
Subjects:
Bayesian network
Benchmarking
Estimation of distribution algorithm
Evolutionary algorithm
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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