Buscar
Mostrando ítems 71-80 de 144
Artículo
Optimal expected-distance separating halfspace
(INFORMS (Institute for Operations Research and Management Sciences), 2008-08)
One recently proposed criterion to separate two datasets in discriminant analysis, is to use a hyperplane which minimises the sum of distances to it from all the misclassified data points. Here all distances are supposed ...
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 ...
Artículo
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 error for a given dataset into a subspace of smaller number of dimensions. In order to improve ...
Artículo
An optimization tool to design the field of a solar power tower plant allowing heliostats of different sizes
(Wiley, 2017)
The design of a Solar Power Tower plant involves the optimization of the heliostat field layout. Fields are usually designed to have all heliostats of identical size. Although the use of a single heliostat size has been ...
Artículo
The generalized Weber problem with expected distances
(EDP Sciences, 1995-09)
In this paper we study a generalized Weber problem where both demand locations and the facility to be located may be regions and to be assumed to be distributed according to some probability measures inside each region. A ...
Artículo
Time series interpolation via global optimization of moments fitting
(ELSEVIER SCIENCE BV, 2013-04-16)
Most time series forecasting methods assume the series has no missing values. When missing values exist, interpolation methods, while filling in the blanks, may substantially modify the statistical pattern of the data, ...
Artículo
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021-07-06)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, features are usually correlated, a fact that violates the Naïve Bayes’ assumption of conditional ...
Artículo
Solving Multifacility Huff Location Models on Networks Using Variable Neighborhood Search and Multi-Start Local Search Metaheuristics
(Elsevier, 2012-12-01)
We consider multifacility Huff location problems on networks. The mixed integer nonlinear optimization problem is solved using Variable Neighborhood Search and Multi-Start Local Search metaheuristics. Computational experience ...
Artículo
Optimization of the Norm of a Vector-Valued DC Function and Applications
(Springer, 2000-11-01)
In this paper, we show that a DC representation can be obtained explicitly for the composition of a gauge with a DC mapping, so that the optimization of certain functions involving terms of this kind can be made by using ...
Artículo
The tree based linear regression model for hierarchical categorical variables
(Elsevier, 2022-05-04)
Many real-life applications consider nominal categorical predictor variables that have a hierarchical structure, e.g. economic activity data in Official Statistics. In this paper, we focus on linear regression models built ...