A simple way for parameter selection of standard particle swarm optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7004 LNAI, Issue PART 3, 2011, Pages 436-443

  Zhang, Wei ^a   Jin, Ying ^a   Li, Xin ^a   Zhang, Xin ^a  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

parameter selection; particle swarm optimization; statistical experiments

Indexed keywords

ANGULAR FREQUENCIES; BENCH-MARK PROBLEMS; COMPLEX CHARACTERISTICS; CONVERGENCE REGION; CRITICAL FACTORS; DAMPED OSCILLATIONS; LINEAR DISCRETE-TIME SYSTEMS; MAXIMUM OVERSHOOT; MODULUS VALUES; PARAMETER SELECTION; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PHASE ANGLES; STATISTICAL EXPERIMENTS; STOCHASTIC APPROXIMATIONS;

APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; EXPERIMENTS; SYSTEMS ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 80054067351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23896-3_54     Document Type: Conference Paper

References (6)

1. Clerc, M., Kennedy, J.: The particle swarm: explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1), 58-73 (2002)
2. Trelea, I.C.: The particle swarm optimization algorithm: convergence analysis and parameter selection. Information Processing Letters 85, 317-325 (2003)
3. Jiang, M., Luo, Y.P., Yang, S.Y.: Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm. Information Processing Letters 102, 8-16 (2007)
4. Jiang, M., Luo, Y.P., Yang, S.Y.: Particle Swarm Optimization-Stochastic Trajectory Analysis and Parameter Selection (2007), Retrieved from http://www.i-techonline.com
5. Fernández Martínez, J.L., García Gonzalo, E.: The Generalized PSO: A New Door to PSO Evolution. Journal of Artificial Evolution and Applications, Article ID: 861275, 15 pages (2008), doi:10.1155/2008/861275
6. Zhang, W., Li, H., Zhao, Q., Wang, H.: Guidelines for Parameter Selection in Particle Swarm Optimization According to Control Theory. In: 2009 Fifth International Conference on Natural Computation (ICNC 2009), Tianjin, China, vol. 3, pp. 520-524 (2009)