Summary

International Symposium on Nonlinear Theory and its Applications

2009

Session Number:B2L-B

Session:

Number:B2L-B5

Complex Particle Swarm Optimization

Kenya Jin’no,  Takuya Shindo,  

pp.-

Publication Date:2009/10/18

Online ISSN:2188-5079

DOI:10.34385/proc.43.B2L-B5

PDF download (128.9KB)

Summary:
Particle Swarm Optimization (PSO) system is one of the powerful algorithm for solving global optimization problems. A lot of research results about the searching ability of PSO system have been reported, however, there are few ones which paid attention to the dynamics of PSO system. In order to analyze the dynamics of PSO system, M. Clerc and J. Kennedy have derived a generalized model of the PSO system. And they have analyzed the stability of the system based on the eigenvalue of the system. In this article, we propose a novel canonical deterministic PSO system, and analyze the relation between the eigenvalues and the searching ability. Moreover, we propose a reacceleration PSO system. We will clarify the searching ability of the proposed reacceleration PSO system.