ListarArtículos (Estadística e Investigación Operativa) por materia "Variable neighborhood search"
Mostrando ítems 1-6 de 6
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A global optimization method for model selection in chemical reactions networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2016-06-07)Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ...
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A nested heuristic for parameter tuning in support vector machines
(Elsevier, 2014-03)The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. ...
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Gaussian variable neighborhood search for continuous optimization
(PERGAMON-ELSEVIER SCIENCE LTD, 2012-01-01)Variable Neighborhood Search (VNS) has shown to be a powerful tool for solving both discrete and box-constrained continuous ...
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New heuristic for harmonic means clustering
(Springer, 2014-05-06)It is well known that some local search heuristics for K-clustering problems, such as k-means heuristic for minimum ...
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rs-Sparse principal component analysis: A mixed integer nonlinear programming approach with VNS
(PERGAMON-ELSEVIER SCIENCE LTD, 2013-05-03)Principal component analysis is a popular data analysis dimensionality reduction technique, aiming to project with minimum ...
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Variable neighborhood search for minimum sum-of-squares clustering on networks
(ELSEVIER SCIENCE BV, 2013-10-13)Euclidean Minimum Sum-of-Squares Clustering amounts to finding p prototypes by minimizing the sum of the squared Euclidean ...