DocumentCode :
420588
Title :
A modified particle swarm optimization algorithm
Author :
Li, Junjun ; Wang, Xihuai
Author_Institution :
Dept. of Electr. & Autom., Shanghai Maritime Univ., China
Volume :
1
fYear :
2004
fDate :
15-19 June 2004
Firstpage :
354
Abstract :
A modified particle swarm optimization (PSO) algorithms is proposed. This method integrates the particle swarm optimization with the simulated annealing algorithm. It can solve the problem of local minimum of the particle swarm optimization, and narrow the field of search continually, so it has higher efficiency of search. This algorithm is applied to the function optimization problem and simulation shows that the algorithm is effective.
Keywords :
search problems; simulated annealing; function optimization problem; particle swarm optimization algorithm; search problem; simulated annealing algorithm; Automation; Particle swarm optimization; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1340591
Filename :
1340591
Link To Document :
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