Overview
- Discusses the hurdles faced in solving large-scale, cutting edge applications
- Describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control
- Explores evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers
- Includes supplementary material: sn.pub/extras
Part of the book series: Genetic and Evolutionary Computation (GEVO)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.
This volume represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
Reviews
From the reviews:
"Every cutting-edge researcher, in every computational discipline, working on any real-world application, should make it a point to keep abreast of the ongoing progress of genetic programming theory and practice, which is currently available in this book. … a great win-win synergy opportunity here for less-cutting-edge researchers to try these maturing tools on more intuitive data masses; they should be more able to appreciate the results, and the genetic programming cryptography community might then learn something new about how to interpret post-scientific results." (Chaim Scheff, ACM Computing Reviews, Vol. 49 (8), August, 2008)
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming Theory and Practice IV
Editors: Rick Riolo, Terence Soule, Bill Worzel
Series Title: Genetic and Evolutionary Computation
DOI: https://doi.org/10.1007/978-0-387-49650-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-33375-5Published: 14 March 2007
Softcover ISBN: 978-1-4419-4123-7Published: 19 November 2010
eBook ISBN: 978-0-387-49650-4Published: 03 July 2007
Series ISSN: 1932-0167
Series E-ISSN: 1932-0175
Edition Number: 1
Number of Pages: XVI, 338
Number of Illustrations: 200 b/w illustrations
Topics: Artificial Intelligence, Software Engineering/Programming and Operating Systems, Artificial Intelligence, Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques