Overview
- The first book on Cartesian GP
- Edited by the coinventor of the method
- Contributions by leading researchers in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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About this book
Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences.
This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
About the editor
The author has a degree in physics and a Ph.D. in nonlinear mathematics. He worked at Napier University and the University of Birmingham University, and he's now a lecturer in the Dept. of Electronics at The University of York. He has chaired many international conferences and workshops in genetic programming and evolvable hardware; he cofounded one of the key evolutionary computing journals; he has authored over 150 publications in the area; and he is the coinventor of the Cartesian GP method.
Bibliographic Information
Book Title: Cartesian Genetic Programming
Editors: Julian F. Miller
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-642-17310-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-17309-7Published: 17 September 2011
Softcover ISBN: 978-3-642-26998-1Published: 27 November 2013
eBook ISBN: 978-3-642-17310-3Published: 18 September 2011
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XXII, 346
Topics: Theory of Computation, Electrical Engineering, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design, Computer Appl. in Arts and Humanities