| Title of paper:
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A generalized net model of a mutation operator for the breeder genetic algorithm
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| Author(s):
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| Tania Pencheva
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| Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
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| tania.pencheva@clbme.bas.bg
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| Olympia Roeva
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| Centre of Biomedical Engineering – Bulgarian Academy of Sciences, 105, Acad. G. Bonchev Str., Sofia 1113, Bulgaria
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| olympia@clbme.bas.bg
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| Anthony Shannon
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Raffles College of Design and Commerce, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
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| (current: t.shannon@warrane.unsw.edu.au)
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| Presented at:
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9th IWGN, Sofia, 4 July 2008
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| Published in:
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Conference proceedings, pages 64—70
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| Download:
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 PDF (174 Kb, Info)
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| Abstract:
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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.
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| Keywords:
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Generalized nets, Genetic algorithms, Crossover
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| References:
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| Citations:
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