An online-learning-based evolutionary many-objective algorithm

When optimizing many-objective problems (MaOP), the same strategy might behave differently when facing problems with different features. Therefore, obtaining problem features helps to obtain high-quality solutions. However, in practice, the problem features are unknown during the optimization proces...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 509; pp. 1 - 21
Main Authors:	Zhao, Haitong, Zhang, Changsheng
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2020
Subjects:	Decomposition strategy Evolutionary algorithm Many-objective optimization Online-learning Online-learning Many-objective optimization Evolutionary algorithm Decomposition strategy
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!