This study describes evolution-based algorithms used for both the study of complex systems and the resolution of difficult optimization problems. Evolution algorithms are techniques drawn from artificial intelligence which mimic nature according to Darwin's principle of the survival of the fittest. The contributors describe theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. They link artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real problems.
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This study describes evolution-based algorithms used for both the study of complex systems and the resolution of difficult optimization problems. Evolution algorithms are techniques drawn from artificial intelligence which mimic nature according to Darwin's principle of the survival of the fittest. The contributors describe theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. They link artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real problems.
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780471958598. Nº de ref. del artículo: 7756411
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