DocumentCode
3065367
Title
The Particle Swarm Optimization Algorithm: How to Select the Number of Iteration
Author
Li, Bo ; Xiao, Renyue
Author_Institution
South China Univ. of Technol., Guangzhou
Volume
2
fYear
2007
fDate
26-28 Nov. 2007
Firstpage
191
Lastpage
196
Abstract
The particle swarm optimization algorithm is an algorithm to find optimal regions of complex spaces through the interaction of individuals. The number of iterations required to meet a termination criterion is a critical dependent variable in the particle swarm optimization algorithm. In this paper, we analyze how to select the number of iteration. It can be seen as a guideline to the particle swarm optimization.
Keywords
particle swarm optimisation; complex spaces; critical dependent variable; optimal region finding; particle swarm optimization; termination criterion; Cognition; Collaboration; Equations; Guidelines; Particle swarm optimization; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-0-7695-2994-1
Type
conf
DOI
10.1109/IIH-MSP.2007.298
Filename
4457684
Link To Document