An efficient mixture sampling model for gaussian estimation of distribution algorithm

Estimation of distribution algorithm (EDA) is a stochastic optimization algorithm based on probability distribution model and has been widely applied in global optimization. However, the random sampling of Gaussian EDA (GEDA) usually suffers from the poor diversity and the premature convergence, whi...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 608; pp. 1157 - 1182
Main Authors:	Dang, Qianlong, Gao, Weifeng, Gong, Maoguo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2022
Subjects:	Efficient mixture sampling model Evolutionary algorithm Gaussian estimation of distribution algorithm Premature convergence Efficient mixture sampling model Premature convergence Evolutionary algorithm Gaussian estimation of distribution algorithm
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!