A novel multi-objective particle swarm optimization with multiple search strategies

•Two search strategies are designed for updating the velocity of each particle.•An evolutionary search strategy is performed on the external archive of PSO.•A new definition of personal-best and global-best particles is given.•A novel multi-objective PSO is designed based on decomposition approach....

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Bibliographic Details

Published in:	European journal of operational research Vol. 247; no. 3; pp. 732 - 744
Main Authors:	Lin, Qiuzhen, Li, Jianqiang, Du, Zhihua, Chen, Jianyong, Ming, Zhong
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.12.2015 Elsevier Sequoia S.A
Subjects:	Algorithms Assignment problem Comparative analysis Effectiveness studies Evolutionary computation Multiple objective programming Multiple search strategies Optimization Optimization algorithms Particle swarm optimization Simulation Particle swarm optimization Multiple objective programming Evolutionary computation Multiple search strategies
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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