Description

Book Synopsis
This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in BASIC, FORTRAN, PASCAL AND C) included on a floppy disk to help the reader get up and running as quickly as possible. The text could also be used as part of an undergraduate course on search and optimisation. Student exercises are included at the end of several of the chapters, many of which are computer-based and designed to encourage exploration of the method.

Table of Contents
Improving the algorithm; foundations; advanced operators; writing a genetic algorithm; applications of genetic algorithms.

Introduction To Genetic Algorithms For Scientists

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A Hardback by David Alexander Coley

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    View other formats and editions of Introduction To Genetic Algorithms For Scientists by David Alexander Coley

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 02/02/1999
    ISBN13: 9789810236021, 978-9810236021
    ISBN10: 9810236026
    Also in:
    Algorithms and data structures Machine learning

    Description

    Book Synopsis
    This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in BASIC, FORTRAN, PASCAL AND C) included on a floppy disk to help the reader get up and running as quickly as possible. The text could also be used as part of an undergraduate course on search and optimisation. Student exercises are included at the end of several of the chapters, many of which are computer-based and designed to encourage exploration of the method.

    Table of Contents
    Improving the algorithm; foundations; advanced operators; writing a genetic algorithm; applications of genetic algorithms.

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