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An Introduction to Genetic Algorithms (Complex Adaptive Systems)

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An Introduction to Genetic Algorithms (Complex Adaptive Systems) (Paperback)

by M Mitchell (Author)

4.7 out of 5 stars See all reviews (6 customer reviews)

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Product details

Paperback: 221 pages
Publisher: MIT Press; New edition edition (8 April 1998)
Language English
ISBN-10: 0262631857
ISBN-13: 978-0262631853
Product Dimensions: 25 x 17 x 1.6 cm

Average Customer Review: 4.7 out of 5 stars See all reviews (6 customer reviews)

Amazon.co.uk Sales Rank: 128,163 in Books (See Bestsellers in Books)

Popular in these categories:

#1 in	Books > Computing & Internet > Computer Science > Algorithms > Adaptive
#6 in	Books > Computing & Internet > Computer Science > Algorithms > Introduction
#7 in	Books > Computing & Internet > Computer Science > Algorithms > Genetic

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Product Description

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This introduction describes research in the field and also enables readers to implement and experiment with genetic algorithms on their own. The book focuses in depth on a small set of important topics - particularly in machine learning, scientific modelling and artificial life - and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modelling projects stretch beyond the strict boundaries of computer science to include dynamic systems theory, game theory, molecular biology, ecology, evolutionary biology and population genetics.

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Customer Reviews

6 Reviews

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4 star:		(2)
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4.7 out of 5 stars (6 customer reviews)

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Most Helpful Customer Reviews

13 of 13 people found the following review helpful:

5.0 out of 5 stars An extremely inspirational insight in GAs, 17 Oct 1998

By A Customer

This review is from: An Introduction to Genetic Algorithms (Complex Adaptive Systems) (Hardcover)

From the very first page Mitchell has the reader hooked as she unleashes the various applications of GAs. With each example the various elements of GAs are illustrated, making it an enjoyable but still very educational experience. The technical material is not too hard to follow, and the mathematical proofs presented are easy to understand given a modest background in maths. I recommend this book as a first read for anyone who is interested in learning more about GAs, and an entertaining read for the GA veterans.

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7 of 7 people found the following review helpful:

5.0 out of 5 stars An excellent first contact with the subject., 21 May 2002

By	steve@espalier.co.uk (UK) - See all my reviews

This is the book that launched my interest in GA's, it took a subject that I expected to bored to tears with and totally engaged me, I just couldn't put this book down. The authors style makes for easy reading but at the same time does not skimp on detail. A very good starting point for anyone looking to introduce themselves to the subject and jam packed with usefull references for those wishing to study further.

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7 of 8 people found the following review helpful:

5.0 out of 5 stars Beautiful, 26 April 2002

By A Customer

This is not a large book, but it lays out the whole field in an understandable and engaging manner. It is one of my favourite books on AI and I have far too many!

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Most Recent Customer Reviews

4.0 out of 5 stars Good Introduction! Can Include More Implementation Details.
Good Book To Read For Beginners In Genetic Algorithms. Can Be Improved By Including More Implementation Details.

Published on 27 May 1999

4.0 out of 5 stars Good Introduction! Can Include More Implementation Details.
Good Book To Read For Beginners In Genetic Algorithms. Can Be Improved By Including More Implementation Details.

Published on 27 May 1999

5.0 out of 5 stars Great introduction for the uninitiated!
This book is ideal for someone totally new to the field of GAs. Mitchell begins with the fundamental concepts of the simple GA and proceeds to survey a wide variety of... Read more

Published on 13 Aug 1998

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