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A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence

Zhang, Xingyi, Zheng, Xiutao, Cheng, Ran, Qiu, Jianfeng and Jin, Yaochu (2017) A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence Information Sciences, 427. pp. 63-76.

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A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence.pdf - Accepted version Manuscript
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Abstract

In the past two decades, multi-objective optimization has attracted increasing interests in the evolutionary computation community, and a variety of multi-objective optimization algorithms have been proposed on the basis of different population based meta-heuristics, where the family of multi-objective particle swarm optimization is among the most representative ones. While the performance of most existing multi-objective particle swarm optimization algorithms largely depends on the global or personal best particles stored in an external archive, in this paper, we propose a competitive mechanism based multi-objective particle swarm optimizer, where the particles are updated on the basis of the pairwise competitions performed in the current swarm at each generation. The performance of the proposed competitive multi-objective particle swarm optimizer is verified by benchmark comparisons with several state-of-the-art multiobjective optimizers, including three multi-objective particle swarm optimization algorithms and three multi-objective evolutionary algorithms. Experimental results demonstrate the promising performance of the proposed algorithm in terms of both optimization quality and convergence speed.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Zhang, XingyiUNSPECIFIEDUNSPECIFIED
Zheng, XiutaoUNSPECIFIEDUNSPECIFIED
Cheng, RanUNSPECIFIEDUNSPECIFIED
Qiu, JianfengUNSPECIFIEDUNSPECIFIED
Jin, YaochuYaochu.Jin@surrey.ac.ukUNSPECIFIED
Date : 18 October 2017
Identification Number : 10.1016/j.ins.2017.10.037
Copyright Disclaimer : © 2017 Elsevier Ltd. All rights reserved.
Uncontrolled Keywords : Multi-objective optimization; Competitive swarm optimizer; Evolutionary algorithm; Particle swarm optimization
Depositing User : Clive Harris
Date Deposited : 19 Oct 2017 09:00
Last Modified : 19 Feb 2018 16:23
URI: http://epubs.surrey.ac.uk/id/eprint/842581

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