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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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TE_1546.pdf | Tesis | 2.45 MB | Adobe PDF | View/Open |