A Field Guide to Genetic Programming

A Field Guide to Genetic Programming - A Field Guide to...

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Unformatted text preview: A Field Guide to Genetic Programming Riccardo Poli Department of Computing and Electronic Systems University of Essex – UK rpoli@essex.ac.uk William B. Langdon Departments of Biological and Mathematical Sciences University of Essex – UK wlangdon@essex.ac.uk Nicholas F. McPhee Division of Science and Mathematics University of Minnesota, Morris – USA mcphee@morris.umn.edu with contributions by John R. Koza Stanford University – USA john@johnkoza.com March 2008 c Riccardo Poli, William B. Langdon, and Nicholas F. McPhee, 2008 This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales License (see http://creativecommons.org/licenses/by-nc-nd/2.0/uk/ ). That is: You are free: to copy, distribute, display, and perform the work Under the following conditions: Attribution. You must give the original authors credit. Non-Commercial. You may not use this work for commercial purposes. No Derivative Works. You may not alter, transform, or build upon this work. For any reuse or distribution, you must make clear to others the licence terms of this work. Any of these conditions can be waived if you get permission from the copyright holders. Nothing in this license impairs or restricts the authors’ rights. Non-commercial uses are thus permitted without any further authorisation from the copyright owners. The book may be freely downloaded in electronic form at http://www.gp-field-guide.org.uk . Printed copies can also be purchased inexpensively from http://lulu.com . For more information about Creative Commons licenses, go to http://creativecommons.org or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. To cite this book, please see the entry for (Poli, Langdon, and McPhee, 2008) in the bibliography. ISBN 978-1-4092-0073-4 (softcover) Preface Genetic programming (GP) is a collection of evolutionary computation tech-niques that allow computers to solve problems automatically. Since its in-ception twenty years ago, GP has been used to solve a wide range of prac-tical problems, producing a number of human-competitive results and even patentable new inventions. Like many other areas of computer science, GP is evolving rapidly, with new ideas, techniques and applications being con-stantly proposed. While this shows how wonderfully prolific GP is, it also makes it difficult for newcomers to become acquainted with the main ideas in the field, and form a mental map of its different branches. Even for people who have been interested in GP for a while, it is difficult to keep up with the pace of new developments. Many books have been written which describe aspects of GP. Some provide general introductions to the field as a whole. However, no new introductory book on GP has been produced in the last decade, and anyone wanting to learn about GP is forced to map the terrain painfully on their own. This book attempts to fill that gap, by providing a modern field guide own....
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A Field Guide to Genetic Programming - A Field Guide to...

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