Genetic Algorithms in Search, Optimization, and Machine Learning 1st Edition

by David E. Goldberg (Author)

29 customer reviews

ISBN-13: 978-0201157673

ISBN-10: 0201157675

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Editorial Reviews

Amazon.com Review

David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field--he has published over 100 research articles on genetic algorithms and is a student of John Holland, the father of genetic algorithms--and his deep understanding of the material shines through. The book contains a complete listing of a simple genetic algorithm in Pascal, which C programmers can easily understand. The book covers all of the important topics in the field, including crossover, mutation, classifier systems, and fitness scaling, giving a novice with a computer science background enough information to implement a genetic algorithm and describe genetic algorithms to a friend.

From the Back Cover

This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.

Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.

0201157675B07092001

Hardcover: 432 pages
Publisher: Addison-Wesley Professional; 1 edition (January 11, 1989)
Language: English
ISBN-10: 0201157675
ISBN-13: 978-0201157673
Product Dimensions: 7.8 x 0.8 x 9.5 inches
Shipping Weight: 1.9 pounds (View shipping rates and policies)
Average Customer Review: 29 customer reviews
Amazon Best Sellers Rank: #812,484 in Books (See Top 100 in Books)
- #20 in Books > Computers & Technology > Programming > Algorithms > Genetic
- #179 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Machine Theory
- #183 in Books > Textbooks > Computer Science > Algorithms

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Malodorous

Old-school book

May 19, 2013

Format: HardcoverVerified Purchase

I took an AI class and bought this. The professor is very old-school and still uses overhead projectors and hands out paper notes instead of something like PDF.

The book is definitely dated here in 2013, but the ideas presented therein are valid. I would look elsewhere for a modern genetic algorithms book, though. Unless your professor is old-school and has textbooks older than you are.

The code examples are largely irrelevant: nobody uses Pascal anymore, not even for teaching. So if you want to play along and run the code you either need to locate an old 386 and CRT monitor, or translate the code into something that actually runs in this century.

8 people found this helpful

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Matthew J. Faulkner

Provided me with the elements of a solution

July 21, 2003

Format: HardcoverVerified Purchase

I was looking for an automated approach to finding an optimum run sequence through a changeover matrix. The programming examples gave me the elements I needed to experiment and then fine tune the approach for a working search algorithm. I found the book a good companion in my "voyage of discovery".
For me, the book works two levels, the basic pieces to "play with" are presented clearly in chapters 1 and 3, and practical implementation suggestions are spread throughout the text.
By developing programs in Visual Basic, experimenting with search parameters and re-reading sections of this book - I learned something new!

10 people found this helpful

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bikejpmz

Algorithms Richard Johnsonbaugh

March 7, 2013

Format: HardcoverVerified Purchase

Good book, explains many algorithms in more plain, easier to understand English than the Introduction to Algorithms by Cormen, Lieserson, Rivest, and Stein. Although it is different in the amount and focus of material. Both books used in conjunction is helpful.

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Joey The Tap Water Buffalo

This book absolutely delivers more than I ever wanted to ...

October 7, 2015

Format: HardcoverVerified Purchase

This book absolutely delivers more than I ever wanted to know about genetic algorithms. Worth it just for the first few chapters.

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Dr. Tom

Read a review article instead!

November 5, 2004

Format: HardcoverVerified Purchase

I agree with another reviewer who said the book was unnecessarily long. Genetic Algorithms are a great programming tool, and there are some tips and tricks that can help your programs converge faster and more accurately, but this book had a lot of redundant information.

If you are interested in using GA for solution-finding, I doubt you'll find much useful in this book beyond the first chapter or so. Many of the examples later in the book were so specific that I couldn't see how they could be usefully generalized. Really optimizing a GA approach for a specific problem domain takes a fair amount of tuning, and this book won't help much with that.

I think time spent surfing siteseer or other publication sites would be better spent than reading this book.

12 people found this helpful

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SeriouslySatisfied

October 8, 2014

Format: HardcoverVerified Purchase

THANK YOU

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January 29, 2013

Format: HardcoverVerified Purchase

I' satified;
I' knew this book in your sit
It arrived at many time ago
Itis a interesting and serious book

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February 3, 2016

Format: HardcoverVerified Purchase

book came in and was in great condition.

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Most recent customer reviews

Joao

This is a very good introduction book

This is a very good introduction book. If you are starting in Genetic Algorithms this is the book. Afterwards there are many others...

Published 7 months ago

Chris

Awful Textbook - Students should petition their prof to NOT use this

This is the single worst Algorithms text I have ever used. The examples are the exact opposite of clear.Read more

Published on July 29, 2014

Javier Martínez Suárez

I think it is a very good book about Genetic Algortithms

I from Spain,
I found it in Amazon.uk and I have no problems with the distribution,
In not more than 15 days I had it at home and I have saven about 50 euros.Read more

Published on January 20, 2013

Thomas Manning

Difficult Introduction to Algorithms

We are using this book as a text in our Computer Science II course. Unfortunately, this is a somewhat difficult book to try and learn from.Read more

Published on February 23, 2012

Joe Banks

Excellent Algorithms Book -- For Graduate Students Only

I am a professor who has used book for the last three years for my Algorithms class. I have reviewed many books on the design and analysis of algorithms.Read more

Published on July 26, 2009

Samir Bajaj

Good Introduction to Algorithms

This is actually a pretty decent book, and does a reasonably good job of introducing algorithm analysis and design.Read more

Published on April 18, 2009

Subrat

Great start to your journey in Genetic Algorithms.

This is a great book to begin your journey on Genetic Algorithms (GA). The author is a pioneering authority on the subject and has explained the basics of a GA in a very gentle...Read more

Published on March 8, 2007

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