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| | Description | * This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science
* Most significant update to the second edition is the MATLAB codes that accompany the text
* Provides a thorough discussion of hybrid genetic algorithms
* Features more examples than first edition | |
| | Product Details | | Author: | Randy L. Haupt | | Hardcover: | 272 pages | | Publisher: | Wiley-Interscience | | Publication Date: | May 31, 2004 | | Language: | English | | ISBN: | 0471455652 | | Product Length: | 6.46 inches | | Product Width: | 0.82 inches | | Product Height: | 9.51 inches | | Product Weight: | 1.17 pounds | | Package Length: | 9.3 inches | | Package Width: | 6.1 inches | | Package Height: | 0.8 inches | | Package Weight: | 0.85 pounds | | Average Customer Rating: |  based on 11 reviews |
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| | Customer Reviews | Average Customer Review: ( 11 customer reviews )
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Most Helpful Customer Reviews
18 of 18 found the following review helpful:
 Useful and thought provoking Mar 01, 1999
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.
13 of 13 found the following review helpful:
Practical and easy to read Aug 23, 1998
By Kip Irvine
I found this book to be an extremely clear and easy to understand introduction to genetic algorithms. It was particularly helpful to see examples of both binary and continuous versions of genetic algorithms, and to see explanations of examples on both elementary and advanced levels. This is a good book to read before buying one of the more comprehensive, rigorous technical books on the subject.
19 of 21 found the following review helpful:
 Not a good place to start Jul 26, 2002
By Chuanpu Hu
Presents non-standard techniques without pointing out the standard ones. The non-standard techniques were recommended strongly based only on author's personal opinions, without comparison to other standard techniques on broad spectrum.For starters, it is much better to look into "An Introduction to Genetic Algorithms" by Melanie Michell.
10 of 11 found the following review helpful:
Quick Introduction to Genetic Algorithm Mar 15, 2001
By rabih alkhatib
This is a very simple introductory book to read on genetic algorithm. It provides a good overview of the main mechanisms involved. There is no theoretical treatment of the subject. The Pesudcodes provided in the appendixes have some mistakes. I recommend it for people who want quick general outline of what genetic algorithms means and how to apply it.
7 of 7 found the following review helpful:
Great Mar 26, 2002
By Alberto Bencivenni
In my opinion to well understand a process/method you have to follow an example in every little detail. This book does exactly this and once read allows to write your own code easily. I highly recommend this book!
See all 11 customer reviews on Amazon.com
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