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An Introduction To Genetic Algorithms [Paperback]

4.8 out of 5 stars  See all reviews (5 customer reviews)

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Product details

  • Paperback: 222 pages
  • Publisher: Prentice Hall India; 1st edition (1998)
  • Language: English
  • ISBN-10: 8120313585
  • ISBN-13: 978-8120313583
  • Product Dimensions: 23.7 x 15.8 x 0.8 cm
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: 5,629,996 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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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 brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics_particularly in machine learning, scientific modeling, and artificial life_and reviews a broad span of research, including the work of Mitchell and her colleagues.

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Customer Reviews

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Most Helpful Customer Reviews
15 of 15 people found the following review helpful
5.0 out of 5 stars An extremely inspirational insight in GAs 17 Oct 1998
By A Customer
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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9 of 9 people found the following review helpful
5.0 out of 5 stars An excellent first contact with the subject. 21 May 2002
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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5 of 5 people found the following review helpful
5.0 out of 5 stars Great introduction for the uninitiated! 13 Aug 1998
By A Customer
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 applications. I especially enjoyed the coverage of topics related to machine intelligence, which are sometimes left out in books that focus solely on optimization. The book contains enough information for someone with programming experience to code their own GA (including suggested computer exercises), although no source code is presented. However, the background gained from reading Mitchell's book will enable an easier read of more technical books (which may include source code implementations).
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8 of 9 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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By A Customer
Good Book To Read For Beginners In Genetic Algorithms. Can Be Improved By Including More Implementation Details.
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