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Cartesian Genetic Programming (Natural Computing Series) - Tapa blanda

 
9783642269981: Cartesian Genetic Programming (Natural Computing Series)
Tapa blanda
ISBN 10: 3642269982 ISBN 13: 9783642269981
Editorial: Springer, 2013

Sinopsis

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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Acerca del autor

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.

De la contraportada

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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Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
3642269982
ISBN 13 
9783642269981
Encuadernación
Tapa blanda
Número de páginas
368
Editor
Miller Julian F.
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