Cartesian Genetic Programming [recurso electrónico] / edited by Julian F. Miller.
Tipo de material:
TextoSeries Natural Computing SeriesEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XXII, 346 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642173103Tema(s): Computer science | Information theory | Artificial intelligence | Information systems | Computer aided design | Computer engineering | Computer Science | Theory of Computation | Electrical Engineering | Artificial Intelligence (incl. Robotics) | Computer-Aided Engineering (CAD, CAE) and Design | Computer Appl. in Arts and HumanitiesFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 004.0151 Clasificación LoC:QA75.5-76.95Recursos en línea: Libro electrónico
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA75.5 -76.95 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 375473-2001 |
Navegando Biblioteca Electrónica Estantes, Código de colección: Colección de Libros Electrónicos Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
| QA75.5 -76.95 Advanced Digital Preservation | QA75.5 -76.95 Information Retrieval Technology | QA75.5 -76.95 Simulated Evolution and Learning | QA75.5 -76.95 Cartesian Genetic Programming | QA75.5 -76.95 Patterns in Permutations and Words | QA75.5 -76.95 Self-organising Software | QA75.5 -76.95 Extremal Combinatorics |
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.
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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