A Field Guide to Genetic Programming

A Field Guide to Genetic Programming

An introduction to genetic programming (GP). 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.

Publication date: 31 Dec 2008

ISBN-10: n/a

ISBN-13: 9781409200734

Paperback: n/a

Views: 27,720

Type: N/A

Publisher: Lulu.com

License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales

Post time: 19 Mar 2009 04:25:14

A Field Guide to Genetic Programming

A Field Guide to Genetic Programming An introduction to genetic programming (GP). 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.
Tag(s): Artificial Intelligence
Publication date: 31 Dec 2008
ISBN-10: n/a
ISBN-13: 9781409200734
Paperback: n/a
Views: 27,720
Document Type: N/A
Publisher: Lulu.com
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales
Post time: 19 Mar 2009 04:25:14
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales:
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:santagrin: This book was suggested by Andrew Barilla

Excerpts from the Book Description:

Riccardo Poli wrote: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.




About The Author(s)


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William B. Langdon

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Nicholas Freitag McPhee

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Riccardo Poli

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