Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm

Schmitt M, Wanka R (2013)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2013

Edited Volumes: GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion

Pages Range: 17-18

Conference Proceedings Title: Companion of Proc. 15th Genetic and Evolutionary Computation Conference

Event location: Amsterdam NL

DOI: 10.1145/2464576.2464583

Abstract

We study the frequently observed phenomenon of stagna- tion in the context of particle swarm optimization (PSO). We show that in certain situations the particle swarm is likely to move almost parallel to one of the axes, which may cause stagnation. We provide an experimentally supported explanation in terms of a potential of the swarm and are therefore able to adapt the PSO algorithm slightly such that this weakness can be avoided.

Authors with CRIS profile

Berthold Immanuel Schmitt Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung) Rolf Wanka 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:

Schmitt, M., & Wanka, R. (2013). Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm. In Companion of Proc. 15th Genetic and Evolutionary Computation Conference (pp. 17-18). Amsterdam, NL.

MLA:

Schmitt, Manuel, and Rolf Wanka. "Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm." Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Amsterdam 2013. 17-18.

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