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Representations for Genetic and Evolutionary Algorithms


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In the field of genetics and evolutionary algorithms (GEAs), many theoretical and empirical research has been stacked on operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of important elements of the theory of representation for GEAs and applies them to the empirical study of various important test of the ideal function and problems of commercial import.

Computer eBook Details

  • ISBN-10: 3790814962
  • ISBN-13: 9783790814965
  • Publisher: Physica-Verlag HD
  • Pages: 303
  • Date: August 2002

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algorithm algorithms genetic genetic algorithm machine learning mathematics cybernetics representation theory theoretical computer science evolution evolutionary algorithms

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