Buscar
Mostrando ítems 21-30 de 61
Artículo
Heliostat field cleaning scheduling for Solar Power Tower plants: a heuristic approach
(Elsevier, 2019-02-01)
Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct impact on the productivity of the Solar Power Tower plant. Cleaning techniques applied are dependent ...
Artículo
Visualizing data as objects by DC (difference of convex) optimization
(Springer, 2017)
In this paper we address the problem of visualizing in a bounded region a set of individuals, which has attached a dissimilarity measure and a statistical value, as convex objects. This problem, which extends the standard ...
Artículo
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018-03)
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by ...
Artículo
Threshold robustness in discrete facility location problems: a bi-objective approach
(Springer, 2015-04-24)
The two best studied facility location problems are the p-median problem and the uncapacitated facility location problem (Daskin, Network and discrete location: models, algorithms, and applications. Wiley, New York, 1995; ...
Artículo
Optimization of multiple receivers solar power tower systems
(Elsevier, 2015-10)
In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The proposed procedure allows to optimize the different receivers (height, aperture tilt angle, azimuth ...
Artículo
Robust newsvendor problem with autoregressive demand
(Elsevier, 2016-04)
This paper explores the classic single-item newsvendor problem under a novel setting which combines temporal dependence and tractable robust optimization. First, the demand is modeled as a time series which follows an ...
Artículo
Alternating local search based VNS for linear classification
(Springer, 2010-02)
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We wish to determine the hyperplane which minimises the sum of distances from all misclassified points ...
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(ELSEVIER SCIENCE BV, 2018-11-24)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a benchmark tool for classification, in particular, of functional data. SVM is frequently used with a ...
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
Locating a semi-obnoxious covering facility with repelling polygonal regions
(ELSEVIER SCIENCE BV, 2013-11-01)
A facility is to be located in the Euclidean plane to serve certain sites by covering them closely. Simultaneously, a set of polygonal areas must be protected from the negative effects from that facility. The problem is ...