Multi-speed particle swarm optimization

Authors:
Buthainah S. Al-Kazemi
Affiliations:
Kuwait University, Department of Computer Engineering, Safat, Kuwait
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

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Parameter Selection in Particle Swarm Optimization

EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII

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Abstract

This paper presents a modified version of the Particle Swarm Optimization (PSO). In the new version, particles are allowed to pick from among many positions to where it will move in the next generation. The new version outperforms the PSO algorithm on many benchmarks problems.