Please use this identifier to cite or link to this item: 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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