Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

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.

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Bibliographic Details
Published in:Evolutionary computation 2017-03, Vol.25 (1), p.1-54
Main Authors: Bonyadi, Mohammad Reza, Michalewicz, Zbigniew
Format: Article
Language:English
Subjects:
Algorithms
Computer Simulation
constrained optimization
Evolutionary algorithms
Impact analysis
invariance
local convergence
Models, Theoretical
parameter selection
Particle swarm optimization
Pattern Recognition, Automated
stability analysis
Stochastic Processes
Swarm intelligence
topology
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Description
Summary: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.
ISSN:1063-6560
1530-9304
DOI:10.1162/EVCO_r_00180