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Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey.

Authors :
Ma, Haiping
Shen, Shigen
Yu, Mei
Yang, Zhile
Fei, Minrui
Zhou, Huiyu
Source :
Swarm & Evolutionary Computation; Feb2019, Vol. 44, p365-387, 23p
Publication Year :
2019

Abstract

Abstract Multi-population based nature-inspired optimization algorithms have attracted wide research interests in the last decade, and become one of the frequently used methods to handle real-world optimization problems. Considering the importance and value of multi-population methods and its applications, we believe it is the right time to provide a comprehensive survey of the published work, and also to discuss several aspects for the future research. The purpose of this paper is to summarize the published techniques related to the multi-population methods in nature-inspired optimization algorithms. Beginning with the concept of multi-population optimization, we review basic and important issues in the multi-population methods and discuss their applications in science and engineering. Finally, this paper presents several interesting open problems with future research directions for multi-population optimization methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22106502
Volume :
44
Database :
Supplemental Index
Journal :
Swarm & Evolutionary Computation
Publication Type :
Academic Journal
Accession number :
133875082
Full Text :
https://doi.org/10.1016/j.swevo.2018.04.011