Theory of particle swarm optimization: A survey of the power of the swarm’s potential

Bassimir B, Raß A, Schmitt M (2019)


Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2019

Journal

Publisher: De Gruyter Oldenbourg

Edited Volumes: it - Information Technology Methods and Applications of Informatics and Information Technology

City/Town: Munich, Germany

Book Volume: 61

Pages Range: 169–176

Journal Issue: 4

DOI: 10.1515/itit-2019-0004

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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APA:

Bassimir, B., Raß, A., & Schmitt, M. (2019). Theory of particle swarm optimization: A survey of the power of the swarm’s potential. it - Information Technology, 61(4), 169–176. https://doi.org/10.1515/itit-2019-0004

MLA:

Bassimir, Bernd, Alexander Raß, and Manuel Schmitt. "Theory of particle swarm optimization: A survey of the power of the swarm’s potential." it - Information Technology 61.4 (2019): 169–176.

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