18 Jul 09 Genetic Algorithms for Applied CAD Problems

Viktor M. Kureichik, Sergey P. Malioukov, “Genetic Algorithms for Applied CAD Problems”
Springer | 2009 | ISBN: 3540852808 | 320 pages | PDF | 2,5 MB

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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Related eBooks:

  1. Genetic Algorithms – Principles and Perspectives: A Guide to GA Theory
  2. Introduction to Genetic Algorithms
  3. Cellular Genetic Algorithms
  4. Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology)
  5. Automatic Quantum Computer Programming: A Genetic Programming Approach (Paperback)
  6. Problems on Algorithms
  7. Problems on Algorithms
  8. Problems on Algorithms,2 Ed
  9. Algorithm for Programmes and Problems on Algorithms
  10. Schaum’s Outline of Theory and Problems of Combinatorics including concepts of Graph Theory

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