A cooperative coevolutionary multiobjective algorithm using non-dominated sorting

Iorio, A and Li, X 2004, 'A cooperative coevolutionary multiobjective algorithm using non-dominated sorting', in K. Deb et al. (ed.) Genetic and Evolutionary Computation - GECCO 2004, Seattle, 1 June 2004.


Document type: Conference Paper
Collection: Conference Papers

Title A cooperative coevolutionary multiobjective algorithm using non-dominated sorting
Author(s) Iorio, A
Li, X
Year 2004
Conference name Annual Genetic and Evolutionary Computation
Conference location Seattle
Conference dates 1 June 2004
Proceedings title Genetic and Evolutionary Computation - GECCO 2004
Editor(s) K. Deb et al.
Publisher Springer
Place of publication Berlin
Abstract The following paper describes a cooperative coevolutionary algorithm which incorporates a novel collaboration formation mechanism. It encourages rewarding of components participating in successful collaborations from each sub-population. The successfulness of the collaboration is measured by a non-dominated sorting procedure. The algorithm has demonstrated it can perform comparably with the NSGA-II on some multiobjective function optimization problems.
Subjects Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) evolutionary computing
cooperative co-evolution algorithm
non-dominated sorting
Copyright notice © Springer-Verlag Berlin Heidelberg 2003
Versions
Version Filter Type
Access Statistics: 329 Abstract Views  -  Detailed Statistics
Created: Wed, 08 Apr 2009, 09:42:32 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez Software • Contact us