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Practical Genetic Algorithms
 
 

Practical Genetic Algorithms (Hardcover)

by Randy L. Haupt (Author), Sue Ellen Haupt (Author) "Optimization is the process of making something better ..." (more)
5.0 out of 5 stars See all reviews (1 customer review)

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Product details

  • Hardcover: 192 pages
  • Publisher: John Wiley & Sons (16 Jan 1998)
  • Language English
  • ISBN-10: 0471188735
  • ISBN-13: 978-0471188735
  • Product Dimensions: 24.2 x 16.2 x 1.8 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 1,385,921 in Books (See Bestsellers in Books)

    Popular in this category:

    #76 in  Books > Computing & Internet > Computer Science > Algorithms > Genetic
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Product Description

Review
"...the first introductory–level book to emphasize practical applications through the use of example problems..." (International Journal of General Systems, Vol. 31, No. 1, 2002)

Product Description
A tutorial on genetic algorithms with an emphasis on practical applications

The rapidly expanding field of genetic algorithms has given rise to many new applications in a variety of disciplines. However, most of the existing books on the subject concentrate on theory. Practical Genetic Algorithms is the first introductory–level book to emphasize practical applications through the use of example problems.

In an accessible style, the authors explain why the genetic algorithm is superior in many real–world applications, cover continuous parameter genetic algorithms, and provide in–depth trade–off analysis of genetic algorithm parameter selection. Written for the end user in engineering, science, and computer programming, as well as upper–level undergraduate and graduate students, Practical Genetic Algorithms:
∗ Provides numerous practical example problems
∗ Contains over 80 illustrations
∗ Features many figures and tables
∗ Includes three appendices: a glossary of terms, a list of genetic algorithm routines in pseudocode, and a list of symbols used in the book.

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Optimization is the process of making something better. Read the first page
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Useful and thought provoking, 1 Mar 1999
By A Customer
This book is a good one for beginning GA programmers to start with. It provides sufficient detail for implementing both binary and continuous GAs, and compares their performance throughout the book. The applications described are diverse and interesting, although some of the engineering applications were hard for me to follow. In short, I found this book interesting and full of good ideas to experiment with.
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