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Practical Handbook of Genetic Algorithms : Complex Coding Systems, Volume III

By: Lance D. Chambers (Edited by)

Manufacture on Demand

Ksh 15,700.00

Format: Paperback or Softback

ISBN-10: 0367455722

ISBN-13: 9780367455729

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 23rd, 1998

Publication Status: Active

Product extent: 592 Pages

Weight: 453.00 grams

Product Classification / Subject(s): Number systems
Applied mathematics
Algorithms & data structures

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Volume 3: Complex Coding Systems of the Practical Handbook of Genetic Algorithms contains computer-code examples for the development of genetic algorithm systems, compiling them from an array of practitioners in the field. Each contribution of this singular resource includes unique code segments, documentation, description of the operations performed, rationale for the chosen approach, and problems the code overcomes or addresses. It complements the first two volumes in the series by offering examples of computer code and differs from them by concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer codes in the field.
Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field.
Each contribution of this singular resource includes:
  • unique code segments
  • documentation
  • description of the operations performed
  • rationale for the chosen approach
  • problems the code overcomes or addresses
    Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field.

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