Genetic Algorithms for Applied CAD Problems

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  • Genetic Algorithms for Applied CAD Problems Book Detail

  • Author : Viktor M. Kureichik
  • Release Date : 2009-07-21
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 249
  • ISBN 13 : 3540852808
  • File Size : 68,68 MB

Genetic Algorithms for Applied CAD Problems by Viktor M. Kureichik PDF Summary

Book Description: New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are used for practical problems solution. This monograph is devoted to specialists of CAD, intellectual information technologies in science, biology, economics, sociology and others. It may be used by post-graduate students and students of specialties connected to the systems theory and system analysis methods, information science, optimization methods, operations investigation and solution-making.

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Genetic Algorithms for Applied CAD Problems

Genetic Algorithms for Applied CAD Problems

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New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are

Emerging Trends in Information Systems

Emerging Trends in Information Systems

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This book presents and discusses the most recent innovations, trends, results, experiences and concerns with regard to information systems. Individual chapters