Overview
- Describes cutting-edge work on genetic programming (GP) theory, applications of GP and how theory can be used to guide application of GP
- Demonstrates large-scale applications of GP to a variety of problem domains
- Reveals an inspiring synergy between GP applications and the latest in theoretical results for state-of –the-art problem solving
- Includes supplementary material: sn.pub/extras
Part of the book series: Genetic and Evolutionary Computation (GEVO)
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Table of contents (12 chapters)
Keywords
About this book
Reviews
“This volume is a collection of 12 papers … authored by leading theorists and practitioners of GP, and submitted for the Genetic Programming Theory and Practice (GPTP) workshop held at the University of Michigan on May 9-11, 2013. This collection will interest GP researchers and practitioners with sufficient background in artificial intelligence, evolved analytics, and smart systems.” (Anoop Malaviya, Computing Reviews, December, 2015)
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming Theory and Practice XI
Editors: Rick Riolo, Jason H. Moore, Mark Kotanchek
Series Title: Genetic and Evolutionary Computation
DOI: https://doi.org/10.1007/978-1-4939-0375-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4939-0374-0Published: 01 April 2014
Softcover ISBN: 978-1-4939-5563-3Published: 23 August 2016
eBook ISBN: 978-1-4939-0375-7Published: 01 April 2014
Series ISSN: 1932-0167
Series E-ISSN: 1932-0175
Edition Number: 1
Number of Pages: XIV, 227
Number of Illustrations: 36 b/w illustrations, 32 illustrations in colour
Topics: Artificial Intelligence, Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques