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

it - Information Technology Gesellschaft für Informatik

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.

Authors with CRIS profile

Bernd Bassimir Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung) Alexander Raß Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung) Berthold Immanuel Schmitt Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung)

Related research project(s)

Partikelschwarm-Optimierung (PSO) July 24, 2008 - Aug. 28, 2020

How to cite

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://dx.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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