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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.27
