The particle swarm optimization algorithm: convergence analysis and parameter selection
2003
Trelea, Ioan-Cristian
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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