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Foundations of Genetic Programming
 
 
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Foundations of Genetic Programming (Hardcover)

by William B. Langdon (Author), Riccardo Poli (Author) "The idea of fitness landscapes, firstly proposed in genetics by Sewall Wright [Wright, 1932], is well established in artificial evolution ..." (more)
3.5 out of 5 stars See all reviews (2 customer reviews)
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Product details

  • Hardcover: 260 pages
  • Publisher: Springer (14 Feb 2002)
  • Language German
  • ISBN-10: 3540424512
  • ISBN-13: 978-3540424512
  • Product Dimensions: 23.4 x 16.3 x 2.3 cm
  • Average Customer Review: 3.5 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 974,296 in Books (See Bestsellers in Books)

    Popular in these categories:

    #43 in  Books > Science & Nature > Mathematics > Coding & Cryptology
    #48 in  Books > Computing & Internet > Computer Science > Algorithms > Genetic
    #100 in  Books > Computing & Internet > Computer Science > Algorithms > Machine Learning

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Product Description

Review
From the reviews: interested in practical issues such as which cross-over operator was most
applicable for my problem. Whilst this book did not offer any clear-cut
answers, this is a reflection of the fact that there are no clear-cut answers,
yet. What the book does succeed in doing is providing an illuminating overview
of the body of work which will, in time, come to provide a theoretical
foundation, and accurate prescriptions, for all of the ad-hoc tweaks and
adjustments that we make in practise.
This was published in the British Computer Society journal "Expert Update," 5(3) p46, 2002 by Steve Phelps.

"Is genetic programming (GP) better than random search? a ] Langdon and Poli take on the ambitious task of giving a unified overview of a field still in its infancy, and the result is an invaluable companion to the literature. The book a ] proceeds to give a comprehensive and illuminating treatment of the most important theorems. a ] throughout the book the formal side of the theory is developed alongside intuitive explanations and constructive analysis of actual empirical data." (Steve Phelps, Expert Update, Vol. 5 (3), 2002)

"The book a ~Foundations of Genetics Programminga (TM) summarizes appearances and approaches in the GP section. a ] There are many references for details in the text. Naturally, a large list of references is printed in the appendix. In conclusion, the book describes general principles of genetic programming. I recommend this as the first book for those who are familiarized with the GA and want to be in the know of the GP." (VA-t FAbera, Neural NetworkWorld, Vol. 12 (4), 2002)

Product Description
Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more than ten years ago, GP has been used to solve practical problems in a variety of application fields. Along with this ad-hoc engineering approaches interest increased in how and why GP works. This book provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

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The idea of fitness landscapes, firstly proposed in genetics by Sewall Wright [Wright, 1932], is well established in artificial evolution. Read the first page
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Customer Reviews

2 Reviews
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Average Customer Review
3.5 out of 5 stars (2 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
4 of 7 people found the following review helpful:
5.0 out of 5 stars Excellent review of the state of the art, 10 Jul 2002
By Stefano Cagnoni (Parma, Italy) - See all my reviews
I have found this book very good and inspiring. This book is about theoretical and empirical studies on the fundamental question of how and why genetic programming works.
In this respect the title of the book is very appropriate. The book should not be expected to be an introduction to genetic programming for beginners, as the author of another review seem to believe.
With respect to that review, I also disagree with the statement that the book is just a collection of papers. While it is true that the results in the book have been published before, the authors have made an incredible effort to integrate those results into a single coherent picture, which I have enjoyed very much viewing.
Not for beginners, but definitely cutting edge high quality research.
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5 of 9 people found the following review helpful:
2.0 out of 5 stars Not really that good, 12 Jun 2002
By A Customer
It's nice to have a new book on genetic programming. Too bad though that the title really is not very accurate IMO. The book does not really give foundations of GP. It does have theory but the theory does not seem practical. Since this is half the book, I find it disappointing. The second half of the book is a bit better, but again it is not really treating foundations. Instead, it treats very specialised subtopics. It also seems that the book is a collection of papers that the authors have published, so you could get much of this in other places. Since the book is not very original, and the theory is overly complex and not really useful (the book does not say how to use it IMO) I think the book by Banzhaf on GP is much better, even if it is older.
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