Sciweavers

Share
ICONIP
2004

Evaluation of Comprehensive Learning Particle Swarm Optimizer

9 years 2 months ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a variant of the original Particle Swarm Optimizer which uses a new learning strategy to make the particles have different learning exemplars for different dimensions. This paper investigates the effects of learning proportion Pc in the CLPSO, showing that different Pc realizes different performance on different problems.
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICONIP
Authors Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
Comments (0)
books