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The practical application of genetic algorithms to the solution of engineering problems, has rapidly become an established approach in the fields of control and signal processing. Genetic Algorithms provides comprehensive coverage of the techniques involved, describing the intrinsic characteristics, advantages and constraints of genetic algorithms, as well as discussing genetic operations such as crossover, mutation and reinsertion. In addition, the principle of multiobjective optimization and computing parallelism are discussed. The use of genetic algorithms in many areas of interest in…

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Editions

3 editions
  • Paperback · English · 2011
    Springer · 360 pages · 9781447105787
  • Paperback · English · 2001
    Springer · 348 pages · 9781852330729
  • Other · English · 2012
    Springer · 9781447105770
EngineeringPhysicsTelecommunicationIndustrial engineeringComputer softwareComputer algorithmsGenetic algorithmsAlgorithms