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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 | |
| Appears in Collections: | Tesis del CIMAT |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| TE_1546.pdf | Tesis | 2.45 MB | Adobe PDF | View/Open |