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Genetic Algorithm Book List

Introduction

Many books have been published about genetic algorithms in general, or about specific applications of genetic algorithms. This page gives a summary of the books that I know of. Please keep in mind the fact that the closest I have ever been to a number of these is while standing in a smelly university library, so my opinions on the books should not be taken too seriously. If you have a strong opinion, positive or negative, about any of these books I would like to hear from you.

Introductory Texts: In-depth Texts: Applications:

If you are going to buy just one book about Genetic Algorithms, an easy going overview of the whole field, then I would recommend Melanie Mitchell's "An Introduction to Genetic Algorithms".

Also of interest, despite not strictly being a book about genetic algorithms is Charles Darwin's seminal "The Origin of Species". An online, illustrated version is available from the BBC.

Genetic Algorithms in Search, Optimization, and Machine Learning
goldberg
David Goldberg
ISBN: 0201157675
Hardback, 412 pages
Addison Wesley

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This is generally considered as the bible for GA researchers. David Goldberg is one of the foremost researchers in the field of GAs, he is a former student of John Holland - the father of GAs.

The book contains the complete source code for a simple GA framework. Although this code is published in Pascal, a translation to C with some added extentions is available, SGA-C. Both the example code and text is easy to follow. It is, possibly, directed more towards readers with a background in Computer Science, but assumes no prior knowledge of GAs.

An Introduction to Genetic Algorithms
mitchell
Melanie Mitchell
ISBN: 0262631857
Paperback/Hardback, 218 pages
MIT press, 1996

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After a simple overview of genetic algorithms Melanie Mitchell covers a wide range of applications from a number of different scientific disciplines, each in an easy-to-read style. Towards the end of the book, GA theory and specific implementation details are discussed, leading into a review of the future propects and challenges for evolutionary computation. Plenty of exercises are provided for the reader, but no example answers, which I find really annoying. (A critisism of many text books aimed at undergraduate students). Overall, the book definitely lives up to its title as an excellent introductory text to the field.

Applications of Artifical Intelligence in Chemistry
Hugh M. Cartwright
ISBN: 0198557361
Paperback, 92 pages
Oxford University Press, 1993

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A concise overview of the uses of artificial intelligence, including Genetic Algorithms, in chemistry. It is aimed at undergraduate chemistry students, but you may find it interesting nonetheless. At under 100 pages (30 are devoted to GAs), there is no space for waffle. Neural Nets and other AI methods are also described, so obviously this book doesn't cover any intimate details.

Practical Genetic Algorithms
haupt
R. Haupt, S.E. Haupt
ISBN: 0471188735
Hardback, 192 pages
John Wiley and Sons, 1998

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Explains the use of GAs for scientific and engineering problems. Covers the selection of GA parameters in some detail. Seems a little 'thin' to me, for the price.

The Practical Handbook of Genetic Algorithms
chambers
Lance Chambers (editor)
ISBN: 1584882409
Paperback/Hardback, 501 pages
CRC Press, 2000

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A good book for examples of hybrid GA-based methods.

An Introduction to Genetic Algorithms for Scientists and Engineers
coley
David A. Coley
ISBN: 9810236026
Hardback, 238 pages
World Scientific Publishing, 1999

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This book mainly concentrates on practical issues, with full working examples in BASIC, FORTAN, PASCAL and C.

 

Other GA Books

3540606769 1558605592 155860605X 0262581116

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