Overview
- Discusses the hurdles faced in solving large-scale, cutting-edge applications
- Provides in depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems
- Contributions by GP theorists from major universities and active practitioners from industry examine how GP theory informs practice and how GP practice impacts GP theory
Part of the book series: Genetic and Evolutionary Computation (GEVO)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few.
About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
Editors and Affiliations
Bibliographic Information
Book Title: Genetic Programming Theory and Practice VII
Editors: Rick Riolo, Una-May O'Reilly, Trent McConaghy
Series Title: Genetic and Evolutionary Computation
DOI: https://doi.org/10.1007/978-1-4419-1626-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2010
Hardcover ISBN: 978-1-4419-1625-9Published: 24 November 2009
Softcover ISBN: 978-1-4614-2501-4Published: 25 February 2012
eBook ISBN: 978-1-4419-1626-6Published: 07 November 2009
Series ISSN: 1932-0167
Series E-ISSN: 1932-0175
Edition Number: 1
Number of Pages: XIV, 231
Number of Illustrations: 100 b/w illustrations
Topics: Artificial Intelligence, Programming Techniques, Artificial Intelligence, Theory of Computation, Algorithm Analysis and Problem Complexity