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

    Practical Handbook of Genetic Algorithms by Chambers, Lance D.;

    Complex Coding Systems, Volume III

    Series: Practical Handbook of Genetic Algorithms; 3;

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      • Publisher's listprice GBP 180.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        85 995 Ft (81 900 Ft + 5% VAT)
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      • Discounted price 68 796 Ft (65 520 Ft + 5% VAT)

    85 995 Ft

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    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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    Short description:

    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.

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    Long description:

    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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    Table of Contents:

    A Lamarckian Evolution Strategy for Genetic Algorithms. The Generalization and Solving of Timetable Scheduling Problems. Implementing Fast and Flexible Parallel Genetic Algorithms. Pattern Evolver. Matrix-Based GA Representations in a Model of Evolving Animal Communication. Algorithms to Improve the Convergence of a Genetic Algorithm with a Finite State Machine Genome. A Synthesizable VHDL Coding of a Genetic Algorithm. Genetic Algorithm Model Fitting. A Hybrid Genetic Algorithm, Simulated Annealing and Tabu Search Heuristics for Vehicle Routing Problems with Time Windows. Doing Gas with GAGS. Memory Efficiency and Speed Enhancement Code for Gas. Adaptive Portfolio Trading Strategies. Population Size, Building Blocks, Fitness Landscape and Genetic Algorithm Search Efficiency in Combinatorial Optimization: An Empirical Study. Experimental Results on the Effects of Multi-Parent Recombination: An Overview. Appendix.

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