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A Field Guide to Genetic Programming [Paperback]

Riccardo Poli , William B. Langdon , Nicholas Freitag McPhee

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Book Description

March 26 2008
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.

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Amazon.com: 4.8 out of 5 stars  18 reviews
10 of 10 people found the following review helpful
5.0 out of 5 stars The best introductory book about Genetic Programming June 9 2008
By Arthur K. Kordon - Published on Amazon.com
"A Field Guide to Genetic Programming" is the best introductory book about the growing research area of Genetic Programming (GP). Written by some of the leading researchers in the field, the book explains very well the basic concepts of GP and gives a condensed state of the art of the technology. For practitioners, the book offers free Java-based software, called TinyGP and examples of many successful applications. A big benefit of the book is the comprehensive bibliography.
With its popular style and low price, "A Field Guide to Genetic Programming" can open the field to a very broad audience and create a breakthrough in GP applications.
4 of 4 people found the following review helpful
4.0 out of 5 stars Pretty good July 19 2013
By wunjo - Published on Amazon.com
Format:Paperback|Verified Purchase
This is truly is an introduction to genetic algorithms in that it introduces a lot of terminology and concepts. However, it is lacking a bit on the application side. I guess I was expecting a text-book style approach that has you learn by doing various examples. This book only shows one or two "psuedocode" type examples for each concept. There is some C code in it but not enough to really understand how to use the concepts. Overall, it is a good book but download the free e-book version first and look through it before buying it.
7 of 9 people found the following review helpful
5.0 out of 5 stars Destined to become the standard reference to the field June 6 2008
By Julian Togelius - Published on Amazon.com
This book is a comprehensive introduction to GP, and overview of the state of the art of the field, written by the arguably most important reserachers in the field. In other words, everything you could ask for. As a practicing evolutionary computation reserarcher, it gave me a number of new insights about the particular issues involved in evolving programs represented (mostly) as expression trees, and also a good sense of where the current big issues in the field are.
2 of 2 people found the following review helpful
5.0 out of 5 stars An awesome book written by experienced researchers and practitioners Oct. 19 2013
By Lech Madeyski - Published on Amazon.com
The book not only introduces smoothly into the exiting world of genetic programming, but also provides a lot of valuable information on using GP in practical applications.
The book is written by very experienced researchers as well as practitioners and this is reflected in the text.

Hint: The book is freely downloadable (see William B. Langdon home page) under a Creative Commons license in a variety of formats (e.g. as a PDF, EPUB, Mobi), while printed copies can be purchased from lulu.com and Amazon.
2 of 2 people found the following review helpful
4.0 out of 5 stars Good introductory to genetic programming Nov. 27 2013
By R. Gardner - Published on Amazon.com
Format:Paperback|Verified Purchase
The book is well written and has good example code. I bought it more or less just to add to my library of other GP books. The book is somewhat on the beginner side and as another reviewer said, there is a free ebook version available. Unless you're into collecting GP books like I am, I'd recommend checking out that free version first.

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