Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:B2L-E
Session:
Number:B2L-E-3
A PSO Algorithm with Hybrid Population Structure
Cuili Yang, Honggui Han,
pp.491-494
Publication Date:2015/12/1
Online ISSN:2188-5079
DOI:10.34385/proc.47.B2L-E-3
PDF download (178.4KB)
Summary:
A particle swarm optimization (PSO) algorithm with hybrid population topology is proposed in this paper. In contrast to the fully connected network in traditional PSO, the hybrid network is mixed with regular network which has strong exploration ability and scale-free network whose heterogeneous degree distribution diversify the searching ability of each particle. Based on the comparisons with some existing PSO variations, the effectiveness of the proposed PSO is confirmed in terms of solution quality and algorithm robustness.