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

被引:668
作者
Bonyadi, Mohammad Reza [1 ,2 ,3 ]
Michalewicz, Zbigniew [1 ,3 ,4 ,5 ]
机构
[1] Univ Adelaide, Dept Comp Sci, Adelaide, SA 5005, Australia
[2] Univ Queensland, CAI, Brisbane, Qld 4067, Australia
[3] Complexica Pty Ltd, Adelaide, SA 5021, Australia
[4] Polish Acad Sci, Inst Comp Sci, Warsaw, Poland
[5] Polish Japanese Inst Informat Technol, Warsaw, Poland
关键词
Particle swarm optimization; stability analysis; local convergence; invariance; topology; parameter selection; constrained optimization; CMA EVOLUTION STRATEGY; CONSTRAINED OPTIMIZATION; GLOBAL OPTIMIZATION; CONVERGENCE ANALYSIS; ALGORITHM; POPULATION; STABILITY; SELECTION; VELOCITY; SEARCH;
D O I
10.1162/EVCO_r_00180
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
This paper reviews recent studies on the Particle SwarmOptimization (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.
引用
收藏
页码:1 / 54
页数:54
相关论文
共 168 条
[1]
Feature selection for structure-activity correlation using binary particle swarms [J].
Agrafiotis, DK ;
Cedeño, W .
JOURNAL OF MEDICINAL CHEMISTRY, 2002, 45 (05) :1098-1107
[2]
Chaos embedded particle swarm optimization algorithms [J].
Alatas, Bilal ;
Akin, Erhan ;
Ozer, A. Bedri .
CHAOS SOLITONS & FRACTALS, 2009, 40 (04) :1715-1734
[3]
Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[4]
Angeline P. J., 1998, Evolutionary Programming VII. 7th International Conference, EP98. Proceedings, P601, DOI 10.1007/BFb0040811
[5]
[Anonymous], P IEEE C EV COMP JUN
[6]
[Anonymous], 1997, NUMERICAL LINEAR ALG
[7]
[Anonymous], [No title captured]
[8]
[Anonymous], 2005, Fundamentals of Computational Swarm Intelligence
[9]
[Anonymous], PSO SOURC COD
[10]
[Anonymous], 2010, APPL SOFT COMPUT