particle swarm optimization, dynamic sociometry
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). All Faculty Publications. 479.
Physical and Mathematical Sciences
© 2003 Dan Ventura et al.
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