Elitism set based particle swarm optimization and its application

DOI

10.2991/ijcis.10.1.92How to use a DOI?

Keywords

Particle swarm optimization; Statistical method; Topology structure; Elitism set

Abstract

Topology plays an important role for Particle Swarm Optimization (PSO) to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve better optimization performance than the others since the optimization performance not only depends on the searching abilities of the particles, also depends on the type of the optimization problems. Three elitist set based PSO algorithm without using explicit topology structure is proposed in this paper. An elitist set, which is based on the individual best experience, is used to communicate among the particles. Moreover, to avoid the premature of the particles, different statistical methods have been used in these three proposed methods. The performance of the proposed PSOs is compared with the results of the standard PSO 2011 and several PSO with different topologies, and the simulation results and comparisons demonstrate that the proposed PSO with adaptive probabilistic preference can achieve good optimization performance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Yanxia Sun
AU  - Zenghui Wang
PY  - 2017
DA  - 2017/09/14
TI  - Elitism set based particle swarm optimization and its application
JO  - International Journal of Computational Intelligence Systems
SP  - 1316
EP  - 1329
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.10.1.92
DO  - 10.2991/ijcis.10.1.92
ID  - Sun2017
ER  -