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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: 1,604,278 in Books (See Bestsellers in Books)

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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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	48% buy the item featured on this page: Practical Genetic Algorithms 5.0 out of 5 stars (1)
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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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