An improved differential evolution by hybridizing with estimation-of-distribution algorithm

To fully exploit the strong exploitation of differential evolution (DE) and the strong exploration of the estimation-of-distribution algorithm (EDA), an improved differential evolution by hybridizing the estimation-of-distribution algorithm named IDE-EDA is proposed in the study. Firstly, a novel co...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 619; pp. 439 - 456
Main Authors:	Li, Yintong, Han, Tong, Tang, Shangqin, Huang, Changqiang, Zhou, Huan, Wang, Yuan
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2023
Subjects:	Artificial intelligence Differential evolution Estimation distribution algorithm Hybridization Differential evolution Estimation distribution algorithm Hybridization Artificial intelligence
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!