Cartesian Genetic Programming -

Cartesian Genetic Programming

Julian F. Miller (Herausgeber)

Buch | Softcover
XXII, 346 Seiten
2013 | 2011
Springer Berlin (Verlag)
978-3-642-26998-1 (ISBN)
139,09 inkl. MwSt
Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. This book contains chapters written by the leading figures in the development and application of CGP.

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.

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.

Introduction.- Cartesian Genetic Programming.- Modular Cartesian Genetic Programming.- Self-modifying Cartesian Genetic Programming.- Evolution of Electronic Circuits.- Image Processing.- Developmental Approaches.- Artificial Neural Approaches.- Medical Applications.- Hardware Acceleration.- Control Applications.- Evolutionary Art.- Future Directions.- App. A, A Bibliography of CGP Papers.- App. B, CGP Software.

Erscheint lt. Verlag 27.11.2013
Reihe/Serie Natural Computing Series
Zusatzinfo XXII, 346 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 563 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Schlagworte Cartesian Genetic Programming (CGP) • Directed graphs • Electronic circuits • evolutionary art • Evolutionary Computing (EC) • Evolvable Hardware • Genetic Programming (GP) • Image Processing • Modular (Embedded) CGP • Natural Computing • Self-modifying CGP
ISBN-10 3-642-26998-2 / 3642269982
ISBN-13 978-3-642-26998-1 / 9783642269981
Zustand Neuware
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