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
- Addresses symbolic regression as a mode of genetic programming
Part of the book series: Genetic and Evolutionary Computation (GEVO)
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Table of contents (13 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming Theory and Practice IX
Editors: Rick Riolo, Ekaterina Vladislavleva, Jason H. Moore
Series Title: Genetic and Evolutionary Computation
DOI: https://doi.org/10.1007/978-1-4614-1770-5
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4614-1769-9Published: 01 November 2011
Softcover ISBN: 978-1-4614-2941-8Published: 29 November 2013
eBook ISBN: 978-1-4614-1770-5Published: 02 November 2011
Series ISSN: 1932-0167
Series E-ISSN: 1932-0175
Edition Number: 1
Number of Pages: XXVIII, 264
Topics: Artificial Intelligence, Theory of Computation, Algorithm Analysis and Problem Complexity, Programming Techniques