Iqbal, Musaddar, Freitas, Alex A., Johnson, Colin G. (2005) Varying the Topology and Probability of Re-Initialization in Particle Swarm Optimization. In: Talbi, El-Ghazali, ed. Evolution Artificielle 2005. . (KAR id:14249)
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Abstract
This paper introduces two new versions of dissipative particle swarm optimization. Both of these use a new time-dependent strategy for randomly re-initializing the positions of the particles. In addition, one variation also uses a novel dynamic neighbourhood topology based on small world networks. We present results from applying these algorithms to two well-known function optimization problems. Both algorithms perform considerably better than both standard PSO and the original dissipative PSO algorithms. In particular one version performs significantly better on high-dimensional problems that are inaccessible to traditional methods.
Item Type: | Conference or workshop item (UNSPECIFIED) |
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Uncontrolled keywords: | PSO; swarm intelligence; small-world theory |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Funders: | Organisations -1 not found. |
Depositing User: | Mark Wheadon |
Date Deposited: | 24 Nov 2008 18:02 UTC |
Last Modified: | 05 Nov 2024 09:48 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/14249 (The current URI for this page, for reference purposes) |
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