Share Email Print

Proceedings Paper

Particle swarm optimizer with adaptive species radius for multimodal function optimization
Author(s): Yu Liu; Zheng Qin; Yanyan Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Based on species-PSO, this paper proposes an adaptive species radius strategy for multimodal function optimization. In species-PSO, The radius of the species is a very important parameter, which determines the success and failure of the algorithm. However, the value of the radius extremely depends on the corresponding optimization problems. The task of choosing an appropriate radius is difficult for users. We define stability of the species to denote the search ability for every species. According to stability of species and the number of members in species, the radius of the species is adjusted adaptively. The experimental results show that adaptive species radius strategy makes species-PSO could handle a wide range of optimization problems without user intervention and achieve good performance for multimodal function optimization.

Paper Details

Date Published: 9 January 2008
PDF: 5 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679449 (9 January 2008); doi: 10.1117/12.784041
Show Author Affiliations
Yu Liu, Tsinghua Univ. (China)
Dalian Univ. of Technology (China)
Zheng Qin, Tsinghua Univ. (China)
Yanyan Li, Shijiazhuang Univ. of Economics (China)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

© SPIE. Terms of Use
Back to Top