Keywords
particle swarm optimization, dynamic sociometry
Abstract
The performance of Particle Swarm Optimization is greatly affected by the size and sociometry of the swarm. This research proposes a dynamic sociometry, which is shown to be more effective on some problems than the standard star and ring sociometries. The performance of various combinations of swarm size and sociometry on six different test functions is qualitatively analyzed.
Original Publication Citation
Mark Richards and Dan Ventura, "Dynamic Sociometry in Particle Swarm Optimization", Proceedings of the International Joint Conference on Information Sciences, pp. 1557-156, September 23.
BYU ScholarsArchive Citation
Richards, Mark and Ventura, Dan A., "Dynamic Sociometry in Particle Swarm Optimization" (2003). Faculty Publications. 479.
https://scholarsarchive.byu.edu/facpub/479
Document Type
Peer-Reviewed Article
Publication Date
2003-09-01
Permanent URL
http://hdl.lib.byu.edu/1877/2521
Publisher
Atlantis Press
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2003 Dan Ventura et al.
Copyright Use Information
http://lib.byu.edu/about/copyright/