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The particle swarm optimization algorithm: convergence analysis and parameter selection

The particle swarm optimization algorithm: convergence analysis and parameter selection,10.1016/S0020-0190(02)00447-7,Information Processing Letters,I

The particle swarm optimization algorithm: convergence analysis and parameter selection   (Citations: 427)
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The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter selection guidelines are derived. The exploration–exploitation tradeoff is discussed and illustrated. Examples of performance on benchmark functions superior to previously published results are given.
Journal: Information Processing Letters - IPL , vol. 85, no. 6, pp. 317-325, 2003
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