The particle swarm optimization algorithm: convergence analysis and parameter selection

Ioan-Cristian Trelea (1)

1 GMPA - Génie et Microbiologie des Procédés Alimentaires

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.

Mots clés: parallel algorithms; analysis of algorithms; stochastic optimization; particle swarm optimization

Domaines: Sciences du Vivant [q-bio]

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