Introduction to genetic algorithms / S.N.Sivanandam [and] S.N. Deepa
Idioma: Inglés Berlin ; New York : Springer , 2010Descripción: xix, 442 páginas : ilustracionesTipo de contenido:- text
- unmediated
- volume
- 9783642092244
- 006.31 S624i 2010
Contenidos:
1. Evolutionary Computation.
2. Genetic AIgorithms.
3. Terminologies and Operators of GA.
4. Advanced Operators and Techniques in Genetic A1gorithm.
5. Classification of Genetic Algorithm.
6. Genetic Prograrnrning.
7. Genetic AIgorithm Optimization Problems.
8. Genetic AIgorithm Implementation Using Matlab.
9. Genetic AIgorithm Optimization in C/C++.
10. Applications of Genetic Algorithms.
11. Introduction to Particle Swarm Optimization and Ant Colony Optimization.
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libros | Biblioteca Central Estantería | General | 006.31 S624i 2010 (Navegar estantería(Abre debajo)) | c.1 | Disponible | 35605001966800 |
Navegando Biblioteca Central estanterías, Ubicación en estantería: Estantería, Colección: General Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
006.31 G328g 1998 Genetic programming : an introduction, on the automatic evolution of computer programs and its applications / | 006.31 G328g 1998 Genetic programming : an introduction, on the automatic evolution of computer programs and its applications / | 006.31 L273f 2002 Foundations of genetic programming / | 006.31 S624i 2010 Introduction to genetic algorithms / | 006.32 B622n 1995 Neural networks for pattern recognition / | 006.32 B622n 1995 Neural networks for pattern recognition / | 006.32 H419n2 1999 Neural networks : a comprehensive foundation / |
Incluye contenido, 193 figuras y 13 tablas.
Bibliografía : páginas 425-442
1. Evolutionary Computation.
2. Genetic AIgorithms.
3. Terminologies and Operators of GA.
4. Advanced Operators and Techniques in Genetic A1gorithm.
5. Classification of Genetic Algorithm.
6. Genetic Prograrnrning.
7. Genetic AIgorithm Optimization Problems.
8. Genetic AIgorithm Implementation Using Matlab.
9. Genetic AIgorithm Optimization in C/C++.
10. Applications of Genetic Algorithms.
11. Introduction to Particle Swarm Optimization and Ant Colony Optimization.