Forma Analysis of Particle Swarm Optimisation for Permutation Problems

Gong, Tao; Tuson, Andrew L.

doi:https://doi.org/10.1155/2008/587309

Journal of Artificial Evolution and Applications

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Particle Swarms: The Second Decade

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Volume 2008 | Article ID 587309 | https://doi.org/10.1155/2008/587309

Forma Analysis of Particle Swarm Optimisation for Permutation Problems

Tao Gong¹and Andrew L. Tuson¹

Academic Editor: Riccardo Poli

Received20 Jul 2007

Revised20 Jan 2008

Accepted01 Apr 2008

Published12 May 2008

Abstract

Particle swarm optimisation (PSO) is an innovative and competitive optimisation technique for numerical optimisation with real-parameter representation. In this paper, we examine the working mechanism of PSO in a principled manner with forma analysis and investigate the applicability of PSO on the permutation problem domain. Particularly, our derived PSO schemes are empirically studied based on the quadratic assignment problem (QAP) benchmarks to justify its comparable performance, which in turn implies the benefits of our approach in applying PSO to the discrete problem domain.

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Copyright

Copyright © 2008 Tao Gong and Andrew L. Tuson. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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