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The particle swarm optimization algorithm: convergence analysis and parameter selection

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01313364
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Submitted on : Monday, May 9, 2016 - 8:18:46 PM
Last modification on : Monday, June 1, 2020 - 2:46:57 AM

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Ioan-Cristian Trelea. The particle swarm optimization algorithm: convergence analysis and parameter selection. Information Processing Letters, Elsevier, 2003, 85 (6), pp.317-325. ⟨10.1016/S0020-0190(02)00447-7⟩. ⟨hal-01313364⟩

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