Particle swarm with speciation and adaption in a dynamic environment

Li, X, Branke, J and Blackwell, T 2006, 'Particle swarm with speciation and adaption in a dynamic environment', in M Keijzer et al. (ed.) Proceedings of the Genetic and Evolutionary Computation Conference 2006 (GECCO 2006), Seattle, USA, 8-12 July 2006.


Document type: Conference Paper
Collection: Conference Papers

Title Particle swarm with speciation and adaption in a dynamic environment
Author(s) Li, X
Branke, J
Blackwell, T
Year 2006
Conference name Genetic and Evolutionary Computation Conference
Conference location Seattle, USA
Conference dates 8-12 July 2006
Proceedings title Proceedings of the Genetic and Evolutionary Computation Conference 2006 (GECCO 2006)
Editor(s) M Keijzer et al.
Publisher ACM Press
Place of publication New York, USA
Abstract This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several proven useful techniques. In particular, SPSO is shown to be able to adapt to a series of dynamic test cases with varying number of peaks (assuming maximization). Inspired by the concept of quantum swarms, this paper also proposes a particle diversification method that promotes particle diversity within each converged species. Our results over the moving peaks benchmark test functions suggest that SPSO incorporating this particle diversification method can greatly improve its adaptability hence optima tracking performance.
Subjects Analysis of Algorithms and Complexity
Keyword(s) algorithms
performance
experimentation
DOI - identifier 10.1145/1143997.1144005
Copyright notice © 2006 ACM
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