Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization

With the advent of big data era, complex optimization problems with many objectives and large numbers of decision variables are constantly emerging. Traditional research about multi-objective particle swarm optimization (PSO) focuses on multi-objective optimization problems (MOPs) with small numbers...

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Bibliographic Details

Published in:	IEEE access Vol. 5; pp. 8214 - 8221
Main Authors:	Cao, Bin, Zhao, Jianwei, Lv, Zhihan, Liu, Xin, Yang, Shan, Kang, Xinyuan, Kang, Kai
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms distributed parallelism large-scale optimization many-objective optimization Mopping multi-objective optimization Multiple objective analysis Optimization Parallel processing Particle swarm optimization Particle swarm optimization (PSO) Sociology Statistics
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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