- Covers Cartesian Genetic Programming (CGP), a highly effective and increasingly popular form of genetic programming
- Edited by the co-inventor of the method
- Features contributions by leading researchers in the field
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- About this book
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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.
- About the authors
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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.
- Table of contents (11 chapters)
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Introduction to Evolutionary Computation and Genetic Programming
Pages 1-16
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Cartesian Genetic Programming
Pages 17-34
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Problem Decomposition in Cartesian Genetic Programming
Pages 35-99
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Self-Modifying Cartesian Genetic Programming
Pages 101-124
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Evolution of Electronic Circuits
Pages 125-179
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Table of contents (11 chapters)
- Download Preface 1 PDF (82.4 KB)
- Download Sample pages 2 PDF (477.7 KB)
- Download Table of contents PDF (62.7 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Cartesian Genetic Programming
- Editors
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- Julian F. Miller
- Series Title
- Natural Computing Series
- Copyright
- 2011
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-17310-3
- DOI
- 10.1007/978-3-642-17310-3
- Hardcover ISBN
- 978-3-642-17309-7
- Softcover ISBN
- 978-3-642-26998-1
- Series ISSN
- 1619-7127
- Edition Number
- 1
- Number of Pages
- XXII, 346
- Topics
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