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A modified particle swarm optimization (PSO) algorithm is proposed in this paper to avoid premature convergence with the introduction of mutation operation. The performance of this algorithm is compared to the standard PSO algorithm and experiments indicate that it has better performance with little overhead.
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on (Volume:5 )
Date of Conference: 18-21 Aug. 2005