Natural Science

Volume 1, Issue 2 (September 2009)

ISSN Print: 2150-4091   ISSN Online: 2150-4105

Google-based Impact Factor: 0.74  Citations  h5-index & Ranking

A Modified Particle Swarm Optimization Algorithm

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DOI: 10.4236/ns.2009.12019    10,271 Downloads   23,661 Views  Citations

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ABSTRACT

Particle Swarm Optimization (PSO) is a new optimization algorithm, which is applied in many fields widely. But the original PSO is likely to cause the local optimization with premature convergence phenomenon. By using the idea of simulated annealing algo-rithm, we propose a modified algorithm which makes the most optimal particle of every time of iteration evolving continu-ously, and assign the worst particle with a new value to increase its disturbance. By the testing of three classic testing functions, we conclude the modified PSO algorithm has the better performance of convergence and global searching than the original PSO.

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Mu, A. , Cao, D. and Wang, X. (2009) A Modified Particle Swarm Optimization Algorithm. Natural Science, 1, 151-155. doi: 10.4236/ns.2009.12019.

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