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  • Foundations of Generic Optimizationby M. Iglesias; B. Naudts; A. Verschoren

    Springer 2006; US$ 139.00

    The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with the latter notion, presenting for the first time... more...

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