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/).
Cite this article
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 -