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