Multiobjective evolutionary algorithms: A survey of the state of the art

A multiobjective optimization problem involves several conflicting objectives and has a set of Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run. MOEAs have attracted a lot of...

Full description

Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 1; no. 1; pp. 32 - 49
Main Authors:	Zhou, Aimin, Qu, Bo-Yang, Li, Hui, Zhao, Shi-Zheng, Suganthan, Ponnuthurai Nagaratnam, Zhang, Qingfu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2011
Subjects:	Evolutionary multiobjective optimization Multicriteria decision making Multiobjective evolutionary algorithms Multiobjective optimization Multiobjective evolutionary algorithms Multicriteria decision making Multiobjective optimization Evolutionary multiobjective optimization
ISSN:	2210-6502
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!