Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14803
Title: Simulation of a new hybrid particle swarm optimization algorithm
Authors: Luo, P
Ni, P
Yao, L
Ho, SL 
Ni, G
Xia, H
Keywords: Crossover
Mutation
Optimization
Particle swarm optimization
Issue Date: 2007
Publisher: IOS Press
Source: International journal of applied electromagnetics and mechanics, 2007, v. 25, no. 1-4, p. 705-710 How to cite?
Journal: International journal of applied electromagnetics and mechanics 
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.
URI: http://hdl.handle.net/10397/14803
ISSN: 1383-5416 (print)
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