Affiliation:
1. 9171 Friedrich-Alexander-Universität Erlangen-Nürnberg , Erlangen , Germany
Abstract
Abstract
This paper presents a survey on different showcases for potential measures on particle swarm optimization (PSO). First, a potential is analyzed to prove convergence to non-optimal points. Second, one can apply a minor modification to PSO to prevent convergence to non-optimal points by using an easy potential measure. Finally, analyzing this potential measure yields a reliable stopping criterion for the modified PSO.
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