The particle swarm optimization algorithm: convergence analysis and parameter selection

Authors:
Ioan Cristian Trelea
Affiliations:
INA P-G, UMR Génie et Microbiologie des Procédés Alimentaires, BP 01, 78850 Thiverval-Grignon, France
Venue:
Information Processing Letters
Year:
2003

Citing 2
Cited 205

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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.