Genetic Algorithms in Engineering and Computer Science

  • Authors:
  • Gabriel Winter;J. Periaux;M. Galan;P. Cuesta

  • Affiliations:
  • -;-;-;-

  • Venue:
  • Genetic Algorithms in Engineering and Computer Science
  • Year:
  • 1996

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Abstract

From the Publisher:This book alerts us to the existence of evolution based software - Genetic Algorithms and Evolution Strategies - used for the study of complex systems and difficult optimization problems unresolved until now. Evolution algorithms are artificial intelligence techniques which mimic nature according to Darwin's principle of "survival of the fittest." It presents a compendium of state-of-the-art lectures delivered by recognised experts in the field on theoretical, numerical, and applied aspects of genetic algorithms for the computational optimization problems. It also provides a bridge between artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real-life problems.