Simulation of a new hybrid particle swarm optimization algorithm

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Luo, Ping^{a; *} | Ni, Peihong^a | Yao, Lihai^b | Ho, S.L.^c | Ni, GuangZheng^a | Xia, Haixia^a

Affiliations: [a] College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China | [b] Zhejiang University City College, Hangzhou, 310015, China | [c] Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong

Correspondence: [*] Corresponding author. Fax: +86 (571) 87951915; E-mail: [email protected]

Abstract: In this paper, a new hybrid Particle Swarm Optimization algorithm is introduced which makes use of the characteristics of Simulated Annealing method, and the crossover and mutation operations of Genetic Algorithms. Simulation results demonstrate that the proposed algorithm observes faster convergent rate for a certain class of optimal problems.

Keywords: Particle swarm optimization, crossover, mutation, optimization

DOI: 10.3233/JAE-2007-764

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 705-710, 2007