Overview
- Presents an exciting new development out of Genetic Algorithms
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 21)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.
This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes.
Authors and Affiliations
Bibliographic Information
Book Title: Gene Expression Programming
Book Subtitle: Mathematical Modeling by an Artificial Intelligence
Authors: Cândida Ferreira
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/3-540-32849-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-32796-7Published: 24 May 2006
Softcover ISBN: 978-3-642-06932-1Published: 14 October 2014
eBook ISBN: 978-3-540-32849-0Published: 29 August 2006
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 2
Number of Pages: XX, 480
Additional Information: Originally published by the author, 2002
Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence, Bioinformatics