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Issue:A generalized net model of a mutation operator for the breeder genetic algorithm

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Title of paper: A generalized net model of a mutation operator for the breeder genetic algorithm
Author(s):
Olympia Roeva
Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
olympia@clbme.bas.bg
Anthony Shannon
Raffles College of Design and Commerce, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
t.shannon@warrane.unsw.edu.au
Presented at: 9th IWGN, Sofia, 4 July 2008
Published in: Conference proceedings, pages 59—63
Download:  PDF (167  Kb, File info)
Abstract: A generalized net model of the mutation operator for the genetic algorithm is developed. The apparatus of generalized nets is considered as an appropriate tool for describing the performance of the genetic algorithm. The proposed generalized net model is a realization of the mutation operator for the Breeder genetic algorithm. The resulting GN model can be considered as a separate net, but also can be aggregated into a generalized net model which describes the whole genetic algorithm performance.
Keywords: Generalized nets, Breeder genetic algorithms, Mutation
References:
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  10. Roeva O., K. Atanassov, A. Shannon, Generalized net for evaluation of genetic algorithm fitness function, Proceedings of the Eighth International Workshop on Generalized Nets, Sofia, June 26, 2007, 48-55.
  11. Roeva О., K. Atanassov, A. Shannon, Generalized Net for Selection of Genetic Algorithm Operators, Proceedings of Scientific Session of the Section “Informatics”, Union of Scientists in Bulgaria, in press.
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