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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
Tania Pencheva
Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Olympia Roeva
Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Anthony Shannon
Raffles College of Design and Commerce, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
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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