Overview
- Provides researchers and industry professionals with the most recent developments in Genetic Programming theory and practice
- Contributions by GP theorists from major universities and active practitioners from industries examine how GP theory informs practice and how GP practice impacts GP theory
- Applications include chemical process control, informatics, and circuit design, to name a few
- Includes supplementary material: sn.pub/extras
Part of the book series: Genetic Programming (GPEM, volume 9)
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About this book
Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
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Table of contents (19 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming Theory and Practice III
Editors: Tina Yu, Rick Riolo, Bill Worzel
Series Title: Genetic Programming
DOI: https://doi.org/10.1007/0-387-28111-8
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-28110-0Published: 09 December 2005
Softcover ISBN: 978-1-4419-3921-0Published: 19 November 2010
eBook ISBN: 978-0-387-28111-7Published: 18 June 2006
Series ISSN: 1566-7863
Edition Number: 1
Number of Pages: XVI, 310
Topics: Artificial Intelligence, Artificial Intelligence, Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques