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Issue:Generalized net models of crossover operators in genetic algorithms

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Title of paper: A generalized net model of a mutation operator for the breeder genetic algorithm
Author(s):
Tania Pencheva
Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
tania.pencheva@clbme.bas.bg
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
   (current: t.shannon@warrane.unsw.edu.au)
Presented at: 9th IWGN, Sofia, 4 July 2008
Published in: Conference proceedings, pages 64—70
Download: Download-icon.png PDF (174  Kb, Info)
Abstract: The apparatus of Generalized nets is here applied to a description of different techniques of crossover, which is one of the basic genetic algorithm operators. Presented here are GN models which describe three crossover techniques, namely one-point, two-point crossover as well as the “cut and splice” technique. The resulting GN models can be considered as separate modules, but they can also be accumulated into a GN model to describe a whole genetic algorithm.
Keywords: Generalized nets, Genetic algorithms, Crossover
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