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
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;
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
DOI :
10.1109/IIH-MSP.2007.298
