Por favor, use este identificador para citar o enlazar este ítem:
http://cimat.repositorioinstitucional.mx/jspui/handle/1008/491| Building Multivariate Densities for Simulating Samples in Promising Search Regions | |
| Segovia Domínguez, Ignacio de Jesús | |
| Acceso Abierto | |
| Sin Derechos Reservados | |
| Optimisation, Evolutionary Computation, Gradient Estimates, Multivariate Statistical Density, Promising Vector, Estimation of Distribution Algorithm, Continuous Optimisation Problem, Information Geometry, Predictive Density Function, Promising Search Regi | |
| Nowadays, many proposals for searching the optimum vector of a continuous optimisation problem are based on the stochastic perspective. These methods are successful due to the fact that random components add robustness to the premature convergence to a | |
| CIMAT | |
| 2016 | |
| Tesis de doctorado | |
| Inglés | |
| Estudiantes | |
| CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA | |
| Aparece en las colecciones: | Tesis del CIMAT |
Cargar archivos:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| TE_1546.pdf | Tesis | 2.45 MB | Adobe PDF | Visualizar/Abrir |