Genetic Algorithms in Engineering and Computer Science: 1st (Wiley series in computational methods in applied sciences) - Tapa blanda

Sinopsis

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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