Keywords
particle swarm optimization, starting configuration
Abstract
The performance of Particle Swarm Optimization can be improved by strategically selecting the starting positions of the particles. This work suggests the use of generators from centroidal Voronoi tessellations as the starting points for the swarm. The performance of swarms initialized with this method is compared with the standard PSO algorithm on several standard test functions. Results suggest that CVT initialization improves PSO performance in high-dimensional spaces.
Original Publication Citation
Mark Richards and Dan Ventura, "Choosing a Starting Configuration for Particle Swarm Optimization", Proceedings of the International Joint Conference on Neural Networks, pp. 239-2312, July 24.
BYU ScholarsArchive Citation
Richards, Mark and Ventura, Dan A., "Choosing a Starting Configuration for Particle Swarm Optimization" (2004). Faculty Publications. 431.
https://scholarsarchive.byu.edu/facpub/431
Document Type
Peer-Reviewed Article
Publication Date
2004-07-01
Permanent URL
http://hdl.lib.byu.edu/1877/2518
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/