Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105850
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Type: Journal article
Title: Particle swarm optimization for single objective continuous space problems: a review
Author: Bonyadi, M.
Michalewicz, Z.
Citation: Evolutionary Computation, 2017; 25(1):1-54
Publisher: MIT Press
Issue Date: 2017
ISSN: 1063-6560
1530-9304
Statement of
Responsibility: 
Mohammad Reza Bonyadi, Zbigniew Michalewicz
Abstract: This paper reviews recent studies on the Particle Swarm Optimization (PSO) algorithm. The review has been focused on high impact recent articles that have analyzed and/or modified PSO algorithms. This paper also presents some potential areas for future study.
Keywords: Particle swarm optimization; stability analysis; local convergence; invariance; topology; parameter selection; constrained optimization
Rights: © 2017 by the Massachusetts Institute of Technology
RMID: 0030045078
DOI: 10.1162/EVCO_r_00180
Grant ID: http://purl.org/au-research/grants/arc/DP130104395
Appears in Collections:Computer Science publications

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