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    Theory of particle swarm optimization: A survey of the power of the swarm’s potential
    (it - Information Technology: Vol. 61, No. 4, 2019) Bassimir, Bernd; Raß, Alexander; Schmitt, Manuel
    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.