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Mostrando ítems 1-10 de 11
Artículo
A semidefinite programming approach for solving multiobjective linear programming
(Springer, 2014-03)
Several algorithms are available in the literature for finding the entire set of Pareto-optimal solutions in MultiObjective Linear Programming (MOLP). However, it has not been proposed so far an interior point algorithm ...
Artículo
Heuristic approaches for support vector machines with the ramp loss
(Springer, 2014-03)
Recently, Support Vector Machines with the ramp loss (RLM) have attracted attention from the computational point of view. In this technical note, we propose two heuristics, the first one based on solving the continuous relaxation ...
Artículo
Unreliable point facility location problems on networks
(Elsevier, 2014-03)
In this paper we study facility location problems on graphs under the most common criteria, such as, median, center and centdian, but we incorporate in the objective function some reliability aspects. Assuming that facilities ...
Artículo
Biobjective sparse principal component analysis
(Academic Press Inc., 2014-08-21)
Principal Components are usually hard to interpret. Sparseness is considered as one way to improve interpretability, and thus a trade-off between variance explained by the components and sparseness is frequently sought. ...
Artículo
Revisiting several problems and algorithms in continuous location with lp norms
(Springer, 2014-07)
This paper addresses the general continuous single facility location problems in finite dimension spaces under possibly different ℓp norms in the demand points. We analyze the difficulty of this family of problems and ...
Artículo
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. Different metaheuristics have been recently proposed as a more efficient alternative, but they have ...
Artículo
Linear separation and approximation by minimizing the sum of concave functions of distances
(Springer, 2014-03-01)
One recently proposed criterion to separate two data sets in Classification is to use a hyperplane that minimizes the sum of distances to it from all the misclassified data points, where misclassification means lying on ...
Artículo
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 sum-of-squares clustering occasionally stop at a solution with a smaller number of clusters than the ...
Artículo
A modeling framework for ordered weighted average combinatorial optimization
(Elsevier, 2014-05)
Multiobjective combinatorial optimization deals with problems considering more than one viewpoint or scenario. The problem of aggregating multiple criteria to obtain a globalizing objective function is of special interest ...
Artículo
Triangulación de un estudio cualitativo mediante regresión logística
(Fundación Index, 2014)
Fundamento y Objetivo: La investigación cualitativa complementa su visión de la realidad mediante la triangulación. La regresión logística binaria es un instrumento de predicción de riesgo en epidemiología analítica. Nuestro ...