Description

Book Synopsis
Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it.

Table of Contents
Foundations of Genetic Algorithms.

Combinatorial Optimization Problems.

Multiobjective Optimization Problems.

Fuzzy Optimization Problems.

Reliability Design Problems.

Scheduling Problems.

Advanced Transportation Problems.

Network Design and Routing.

Manufacturing Cell Design.

References.

Index.

Genetic Algorithms and Engineering Optimization 7

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    A Hardback by Mitsuo Gen, Runwei Cheng

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      Publisher: John Wiley & Sons Inc
      Publication Date: 13/01/2000
      ISBN13: 9780471315315, 978-0471315315
      ISBN10: 0471315311
      Also in:
      Computer aided manufacture (CAM) Mechanical engineering and materials

      Description

      Book Synopsis
      Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it.

      Table of Contents
      Foundations of Genetic Algorithms.

      Combinatorial Optimization Problems.

      Multiobjective Optimization Problems.

      Fuzzy Optimization Problems.

      Reliability Design Problems.

      Scheduling Problems.

      Advanced Transportation Problems.

      Network Design and Routing.

      Manufacturing Cell Design.

      References.

      Index.

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