Particle swarm optimization for constrained and multiobjective optimization: A brief review

Citation

Aziz, Ab., Nor Azlina and Ammar W., Mohemmed and Ab., Kamarulzaman and Alias, Mohamad Yusoff (2011) Particle swarm optimization for constrained and multiobjective optimization: A brief review. International Proceedings of Economics Development and Research (IPEDR), 6. pp. 146-150. ISSN 2010-4626

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Abstract

Particle swarm optimization (PSO) is an optimization method that belongs to the swarm intelligence family. It was initially introduced as continuous problem optimization tool. It has evolved to being applied to more complex multiobjective and constrained problem. This paper presents a systematic literature review of PSO for constrained and multiobjective optimization problems.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 06 Feb 2014 02:08
Last Modified: 24 Jul 2014 04:11
URII: http://shdl.mmu.edu.my/id/eprint/5090

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