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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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Customer Reviews
Most Helpful Customer Reviews
3 of 3 people found the following review helpful
Format:Hardcover
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
Format:Hardcover
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
Format:Hardcover
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)
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
Fantastic book
IF
* You are new to the subject
* You want to get the point fast
* Like to be taken along by the hand, with well explained examples
* Hate boring 101%... Read more
* You are new to the subject
* You want to get the point fast
* Like to be taken along by the hand, with well explained examples
* Hate boring 101%... Read more
Published 20 months ago by Carlos
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 early... Read more
Initially the most basic concepts are spelled out, and even derived in the early... Read more
Published on 13 Jun 2008 by scruffy bob
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... Read more
Published on 31 Jan 1999
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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