A Novel Scheme for Particle Swarm Optimization

DOI

10.2991/isrme-15.2015.119How to use a DOI?

Keywords

Particle Swarm Optimization; Vanguard scheme; Global optimization; Local optimization; Severance rule

Abstract

Particle Swarm Optimization (PSO) is one of the most popular optimization algorithms, but it suffers from the contradiction between the exploitation ability and the exploration ability. This paper presents a scheme that introduced main swarm to search for global solution and sub-swarm which was named as vanguard swarm to search for accurate local solution, a severance rule was introduced to re-disperse the particles of vanguard swarm after the local search. The Particle Swarm Optimization with this novel search schem was called Vanguard Scheme Particle Swarm Optimization (VPSO). A comparison between the VPSO and the other 4 variants of PSO on 7 test functions indicates that the proposed algorithm can balance the contradiction between the exploitation ability and the exploration ability, and possesses a more broad application prospects.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - CONF
AU  - Wei He
AU  - Yuanming Xu
AU  - Yaoming Zhou
AU  - Zhijun Meng
AU  - Yuankai Li
PY  - 2015/04
DA  - 2015/04
TI  - A Novel Scheme for Particle Swarm Optimization
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 571
EP  - 580
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.119
DO  - 10.2991/isrme-15.2015.119
ID  - He2015/04
ER  -