particle swarm optimization, starting configuration
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). All Faculty Publications. 431.
Physical and Mathematical Sciences
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