A particle swarm model for tracking multiple peaks in a dynamic environment using speciation

Parrott, D and Li, X 2004, 'A particle swarm model for tracking multiple peaks in a dynamic environment using speciation', in G. W. Greenwood (ed.) Proceedings of the 2004 Congress on Evolutionary Computation, Portland, OR, USA, 19-23 June 2004, pp. 98-103.


Document type: Conference Paper
Collection: Conference Papers

Attached Files
Name Description MIMEType Size
n2004000329.pdf Published version application/pdf 448.19KB
Title A particle swarm model for tracking multiple peaks in a dynamic environment using speciation
Author(s) Parrott, D
Li, X
Year 2004
Conference name Congress on Evolutionary Computation
Conference location Portland, OR, USA
Conference dates 19-23 June 2004
Proceedings title Proceedings of the 2004 Congress on Evolutionary Computation
Editor(s) G. W. Greenwood
Publisher IEEE
Place of publication Piscataway, NJ
Start page 98
End page 103
Abstract A particle swarm optimisation model for tracking multiple peaks in a continuously varying dynamic environment is described. To achieve this, a form of speciation allowing development of parallel subpopulations is used. The model employs a mechanism to encourage simultaneous tracking of multiple peaks by preventing overcrowding at peaks. Possible metrics for evaluating the performance of algorithms in dynamic, multimodal environments are put forward. Results are appraised in terms of the proposed metrics, showing that the technique is capable of tracking multiple peaks and that its performance is enhanced by preventing overcrowding. Directions for further research suggested by these results are put forward.
Subjects Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) evolutionary computing
particle swarm optimisation
multiple peak tracking
speciation
DOI - identifier 10.1109/CEC.2004.1330843
Copyright notice © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Versions
Version Filter Type
Altmetric details:
Access Statistics: 401 Abstract Views, 444 File Downloads  -  Detailed Statistics
Created: Wed, 08 Apr 2009, 09:42:32 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us