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Genetic Algorithms in Search, Optimization and Machine Learning
 
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Genetic Algorithms in Search, Optimization and Machine Learning (Hardcover)

by David E. Goldberg (Author)
4.5 out of 5 stars See all reviews (6 customer reviews)
RRP: £45.99
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Frequently Bought Together

Genetic Algorithms in Search, Optimization and Machine Learning + An Introduction to Genetic Algorithms (Complex Adaptive Systems) + An Introduction to Genetic Algorithms for Scientists and Engineers
Price For All Three: £83.34

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Product details

Product Description

Product Description

This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural selection and genetics.



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

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What Do Customers Ultimately Buy After Viewing This Item?

Genetic Algorithms in Search, Optimization and Machine Learning
52% buy the item featured on this page:
Genetic Algorithms in Search, Optimization and Machine Learning 4.5 out of 5 stars (6)
£43.69
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
25% buy
An Introduction to Genetic Algorithms (Complex Adaptive Systems) 4.7 out of 5 stars (6)
£20.65
Practical Genetic Algorithms
9% buy
Practical Genetic Algorithms 5.0 out of 5 stars (1)
£49.49
An Introduction to Genetic Algorithms for Scientists and Engineers
8% buy
An Introduction to Genetic Algorithms for Scientists and Engineers 5.0 out of 5 stars (1)
£19.00
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Customer Reviews

6 Reviews
5 star:
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2 star:
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Average Customer Review
4.5 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
3 of 3 people found the following review helpful:
5.0 out of 5 stars Perfect for getting started., 19 Dec 1999
By A Customer
I have a background in computing and biology but my maths is sketchy. I found this book a perfect practical introduction to the mathematical side - from basic principles to advanced GA theory. This book provides an exelent introduction to practical GA application. The first few chapters document a simple GA (SGA)written in Pascal (easily understandable to anyone with programming experience) to get you started. In all a very usefull book for those new to GA's.


 
3 of 3 people found the following review helpful:
5.0 out of 5 stars Explains *and* entertains, 24 April 1999
By A Customer
I bought this book while I was a working professional. It is one of the few textbooks that I have ever read straight through, like a novel. In addition to making everything clear and interesting, the book was even funny at times! I didn't think that was allowed in textbooks. ;-)


 
2 of 2 people found the following review helpful:
5.0 out of 5 stars The definitive introduction to genetic algorithms, 27 Sep 1996
By A Customer
More than seven years after publication, David Goldberg's clear prose, straightforward code examples, and solid theoretical coverage keeps "the blue book" head-and-shoulders above any other text on this most intriguing of algorithmic directions. This is the book that lifted genetic algorithms from obscurity to one of the most discussed (and misunderstood) of emerging technologies. Goldberg did not invent genetic algorithms (that honor goes to either Nature or John Holland, depending on your personal belief system), but he did make sure that they could be understood by any interested programmer. The source code is in Pascal, which may not be to everyone's taste, but is certainly readable by anyone with a programming background. - Larry O'Brien (Editor, AI Expert Magazine 1990-1994)

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 		 Most Recent Customer Reviews

2.0 out of 5 stars Vague and outdated.
Although the author's style of writing is pleasant, the book leaves much to be desired.

Initially the most basic concepts are spelled out, and even derived in the...
Published 10 months ago by scruffy bob

5.0 out of 5 stars a classic
Golberg's book is a classic in the field of genetic algorithms. It introduces the reader to the field of genetic algorithms in a clear and understandable manner, while at the...
Published on 31 Jan 1999

5.0 out of 5 stars Introduce GA and its applications gradually and clearly.
This book introduces GA from simple to advance.It gives you an overview of GA applications on search,optimization and machine learning.
Published on 11 Nov 1997

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