334,89 €
The Practical Handbook of Genetic Algorithms
The Practical Handbook of Genetic Algorithms
  • Išparduota
The Practical Handbook of Genetic Algorithms
The Practical Handbook of Genetic Algorithms
El. knyga:
334,89 €
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a sys…
  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 464
  • ISBN: 9780429525568
  • ISBN-10: 0429525567
  • ISBN-13: 9780429525568
  • Formatas: ACSM ?
  • Kalba: Anglų

The Practical Handbook of Genetic Algorithms (el. knyga) (skaityta knyga) | knygos.lt

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The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.

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  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 464
  • ISBN: 9780429525568
  • ISBN-10: 0429525567
  • ISBN-13: 9780429525568
  • Formatas: ACSM ?
  • Kalba: Anglų Anglų

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.

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