DocumentCode
1982556
Title
A Modified PSO Algorithm with the Concept of Intrinsic Repulsive Field
Author
Zhang Wei ; Wang Jing-chun ; Xiong Zhi-hua
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
1
fYear
2013
fDate
28-29 Oct. 2013
Firstpage
81
Lastpage
84
Abstract
An improved Particle Swarm Optimization Algorithm is proposed in this article. Inspired by the existence of Intermolecular Forces in physics, we bring particles that are influenced by repulsion in this Algorithm to keep the population active at all the stages. Meanwhile, the convergence speed can be assured because of the existence of particles that implement Standard Particle Swarm Optimization. Experimental results show that this improved algorithm can effectively solve the local optimal problems.
Keywords
particle swarm optimisation; convergence speed; intermolecular forces; intrinsic repulsive field; local optimal problems; modified PSO algorithm; particle swarm optimization; physics; Convergence; Equations; Mathematical model; Optimization; Particle swarm optimization; Standards; Vectors; Evolutionary Algorithm; Intrinsic Repulsive Field; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/ISCID.2013.27
Filename
6804791
Link To Document