Perfil del autor: Carrizosa Priego, Emilio José
Datos institucionales
Nombre | Carrizosa Priego, Emilio José |
Departamento | Estadística e Investigación Operativa |
Área de conocimiento | Estadística e Investigación Operativa |
Categoría profesional | Catedrático de Universidad |
Correo electrónico | Solicitar |
Estadísticas
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Nº publicaciones
176
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Nº visitas
26270
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Nº descargas
88566
Publicaciones |
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Trabajo Fin de Grado
Forecast combinations
(2023)
In the forecasting community, forecast combinations have grown dramatically. Their uses in time series span a multitude ... |
Artículo
On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between ... |
Tesis Doctoral
Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization
(2022)
This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical ... |
Trabajo Fin de Grado |
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Classification of functional data. A mathematical optimization approach.
(2022)
Functional data appear more and more in modern societies, in which many processes are monitored in real time. Classification ... |
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Explainability and Causality in Machine Learning through Shapley values
(2022)
Explainability and causality are becoming increasingly relevant in Machine Learning research. On the one hand, given the ... |
Trabajo Fin de Grado
Explainable Machine Learning: Mathematical Optimization in Counterfactual Analysis
(2022)
Counterfactual Analysis is a recent field of Explainable Machine Learning focused on the development of methods to provide ... |
Artículo
The tree based linear regression model for hierarchical categorical variables
(Elsevier, 2022)
Many real-life applications consider nominal categorical predictor variables that have a hierarchical structure, e.g. ... |
Artículo
On sparse optimal regression trees
(Elsevier, 2021)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ... |
Artículo
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021)
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base ... |
Artículo
Constrained Naïve Bayes with application to unbalanced data classification
(Springer, 2021)
The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ... |
Tesis Doctoral
New models and methods for classification and feature selection. a mathematical optimization perspective
(2021)
The objective of this PhD dissertation is the development of new models for Supervised Classification and Benchmarking, ... |
Tesis Doctoral
Computational Methods for the Analysis of Complex Data
(2021)
This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ... |
Artículo
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Trabajo Fin de Grado
Monte Carlo Simulation: Methods and Applications
(2021)
En el ámbito de las matemáticas y la ingeniería aparecen frecuentemente integrales multidimensionales que son difíciles ... |
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Explainability and Fairness in Machine Learning
(2021)
Over the years, when speaking about prediction models, the focus has been set on improving their accuracy, at the cost of ... |
Trabajo Fin de Grado
Sparse Methods in Classification and Regression
(2021)
The regression problem with a large number of variables appears in various fields of science, sparse methods make this ... |
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Random survival forests
(2021)
Survival Analysis is a crucial problem in statistics that tries to explain and model the behaviour of the individuals of ... |
Artículo
On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021)
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base ... |
Artículo
An extremal problem with applications to renewable energy production
(EDP Sciences, 2021)
Dynamic optimisation provides complex challenges for optimal solution, but greatly increases applicability when considering ... |
Artículo
Interpreting clusters via prototype optimization
(Elsevier, 2021)
In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is ... |
Artículo
Variable selection for Naïve Bayes classification
(Elsevier, 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Artículo
Analysis of an aggregate loss model in a Markov renewal regime
(ELSEVIER SCIENCE INC, 2020)
In this article we consider an aggregate loss model with dependent losses. The loss oc- currence process is governed by a ... |
Artículo
Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
Identifying key members in a social network is critical to understand the underlying system behavior. Whereas there are ... |
Trabajo Fin de Grado
Random Forests: Properties and applications
(2020)
Random forests are considered a fundamental tool in supervised learning. Conse quently, random forests are used in a wide ... |
Artículo
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
(PERGAMON-ELSEVIER SCIENCE LTD, 2020)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time ... |
Trabajo Fin de Máster
Optimisation of Airspace Sectorisation
(2020)
This research was financially supported by CRIDA, who also provided us data for this research. This master thesis has been ... |
Artículo
Integer constraints for enhancing interpretability in linear regression
(Institut d´Estadística de Catalunya (Idescat), 2020)
One of the main challenges researchers face is to identify the most relevant features in a prediction model. As a consequence, ... |
Artículo
A cost-sensitive constrained Lasso
(Springer, 2020)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ... |
Artículo
Sparsity in optimal randomized classification trees
(ELSEVIER SCIENCE BV, 2019)
Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a ... |
Tesis Doctoral
New methods and results in the optimisation of solar power tower plants
(2019)
Renewable energy technology has seen great advances in recent decades, combined with an ever increasing interest in the ... |
Artículo
Embedding the production policy in location-allocation decisions
(Springer, 2019)
This paper investigates how the production policy, as well as other factors, affect the facility location-allocation ... |
Artículo
Visualization of complex dynamic datasets by means of mathematical optimization
(PERGAMON-ELSEVIER SCIENCE LTD, 2019)
In this paper we propose an optimization model and a solution approach to visualize datasets which are made up of individuals ... |
Trabajo Fin de Grado
Mathematical optimization in deep learning
(2019)
Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular ... |
Artículo
Variable selection in classification for multivariate functional data
(ELSEVIER SCIENCE INC, 2019)
When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an ... |
Tesis Doctoral
Classification and regression with functional data: a mathematical optimization approach.
(2019)
El objetivo de esta tesis doctoral es desarrollar nuevos métodos para la clasificación y regresión supervisada en el ... |
Artículo
Heliostat field cleaning scheduling for Solar Power Tower plants: a heuristic approach
(Elsevier, 2019)
Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct ... |
Artículo
Continuous optimisation techniques for optimal aiming strategies in solar power tower plants
(PERGAMON-ELSEVIER SCIENCE LTD, 2019)
Optimising the aiming strategy is crucial for Solar Power Tower plants, in order to maximise the energy generated, whilst ... |
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(ELSEVIER SCIENCE BV, 2018)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a ... |
Ponencia
Optimisation of Aiming Strategies in Solar Tower Power Plants
(AIP, 2018)
Inclement weather effects have a direct impact on the efficiency of a Solar Power Tower plant and have the potential to ... |
Artículo
On support vector machines under a multiple-cost scenario
(Springer, 2018)
Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification ... |
Artículo
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
(Mary Ann Liebert, INC, 2018)
In this article we develop a novel online framework to visualize news data over a time horizon. First, we perform a Natural ... |
Trabajo Fin de Grado
Optimización matemática en problemas de la Física
(2018)
In this work, Spin Glasses with Ising Sping model are studied. The objetive is the computation of the magnetic partition ... |
Trabajo Fin de Grado
Regresión Lasso
(2018)
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, ... |
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El método de aproximación por media muestral
(2018)
The sample average approximation (SAA) method is an approach for solving stochastic optimization problems by using Monte ... |
Artículo
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018)
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant ... |
Artículo
On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps
(ELSEVIER SCIENCE BV, 2018)
In this paper, we address the problem of visualizing a frequency distribution and an adjacency relation attached to a set ... |
Trabajo Fin de Grado
Inferencia bayesiana
(2018)
The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we ... |
Artículo
Optimisation of aiming strategies in Solar Power Tower plants
(PERGAMON-ELSEVIER SCIENCE LTD, 2017)
The distribution of temperature on a Solar Power Tower (SPT) plant receiver directly affects the lifespan of the structure ... |
Tesis Doctoral
Mathematical optimization for the visualization of complex datasets
(2017)
This PhD dissertation focuses on developing new Mathematical Optimization models and solution approaches which help to ... |
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Aprendizaje supervisado mediante random forests
(2017)
Muchos problemas de la vida real pueden modelarse como problemas de clasificación, tales como la detección temprana de ... |
Artículo
A sparsity-controlled vector autoregressive model
(Oxford University Press, 2017)
Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since ... |
Artículo
A biobjective approach to recoverable robustness based on location planning
(ELSEVIER SCIENCE BV, 2017)
Finding robust solutions of an optimization problem is an important issue in practice, and various con- cepts on how to ... |
Artículo
Visualizing proportions and dissimilarities by space-filling maps: a large neighborhood search approach
(Elsevier, 2017)
In this paper we address the problem of visualizing a set of individuals, which have attached a statistical value given ... |
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 ... |
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 ... |
Artículo
p-facility Huff location problem on networks
(Elsevier, 2016)
The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market ... |
Artículo
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
(ACS, 2016)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ... |
Artículo
Maximal covering location problems on networks with regional demand
(Elsevier, 2016)
Covering problems are well studied in the Operations Research literature under the assumption that both the set of users ... |
Tesis Doctoral
Enhancing robustness and sparsity via mathematical optimization
(2016)
Esta tesis se centra en derivar métodos robustos o dispersos bajo la perspectiva de la optimización para problemas que ... |
Trabajo Fin de Máster
Constrained support vector machines theory and applications to health science
(2016)
En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así ... |
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Artículo
A global optimization method for model selection in chemical reactions networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2016)
Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ... |
Trabajo Fin de Grado
Problemas de localización competitiva. El modelo de Huff
(2016)
The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its ... |
Artículo
Field-design optimization with triangular heliostat pods
(American Institute of Physics, 2016)
In this paper the optimization of a heliostat field with triangular heliostat pods is addressed. The use of structures ... |
Artículo
Minimizing the passengers' traveling time in the stop location problem
(TAYLOR & FRANCIS LTD, 2016)
In this paper we consider the location of stops along the edges of an already existing public transportation network. The ... |
Artículo
Robust newsvendor problem with autoregressive demand
(Elsevier, 2016)
This paper explores the classic single-item newsvendor problem under a novel setting which combines temporal dependence ... |
Artículo
Solving multifacility Huff location models on networks using metaheuristic and exact approaches
(PERGAMON-ELSEVIER SCIENCE LTD, 2016)
In this paper we consider multifacility Huff facility location problem on networks. First, we introduce a slight modification ... |
Artículo
Strongly agree or strongly disagree? Rating features in support vector machines
(Elsevier, 2016)
In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are ... |
Artículo
Clustering categories in support vector machines
(Elsevier, 2016)
The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster ... |
Tesis Doctoral
Optimization models in solar power tower plant design. Design of the heliostat field and the tower receivers
(2016)
El diseño de plantas solares con tecnología de torre (utilizaremos las siglas en inglés SPT) comenzó a ser estudiado en ... |
Trabajo Fin de Grado
Support vector regression : propiedades y aplicaciones
(2016)
Statistical learning plays a key role in many areas of science, finance and industry. In particular, supervised learning ... |
Artículo
Kernel Penalized K-means: A feature selection method based on Kernel K-means
(ELSEVIER SCIENCE BV, 2015)
We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the ... |
Artículo
Optimization of multiple receivers solar power tower systems
(Elsevier, 2015)
In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The ... |
Artículo |
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Artículo
A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems
(Elsevier, 2015)
A heuristic method for optimizing a solar power tower system is proposed, in which both heliostat field (heliostat locations ... |
Artículo
Threshold robustness in discrete facility location problems: a bi-objective approach
(Springer, 2015)
The two best studied facility location problems are the p-median problem and the uncapacitated facility location problem ... |
Tesis Doctoral
Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification
(2015)
This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important ... |
Ponencia |
Artículo
Biobjective sparse principal component analysis
(Academic Press Inc., 2014)
Principal Components are usually hard to interpret. Sparseness is considered as one way to improve interpretability, and ... |
Trabajo Fin de Máster |
Artículo
New heuristic for harmonic means clustering
(Springer, 2014)
It is well known that some local search heuristics for K-clustering problems, such as k-means heuristic for minimum ... |
Artículo
Heuristic approaches for support vector machines with the ramp loss
(Springer, 2014)
Recently, Support Vector Machines with the ramp loss (RLM) have attracted attention from the computational point of view. ... |
Artículo
A nested heuristic for parameter tuning in support vector machines
(Elsevier, 2014)
The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. ... |
Artículo
Linear separation and approximation by minimizing the sum of concave functions of distances
(Springer, 2014)
One recently proposed criterion to separate two data sets in Classification is to use a hyperplane that minimizes the sum ... |
Capítulo de Libro
Vulnerability assessment of spatial networks: models and solutions
(Springer, 2014)
In this paper we present a collection of combinatorial optimization problems that allows to assess the vulnerability of ... |
Artículo
The Markovian arrival process: A statistical model for daily precipitation amounts
(ELSEVIER SCIENCE BV, 2013)
The Markovian arrival process (MAP) is a stochastic process that allows for modeling dependent and non-exponentially ... |
Artículo
Solving the median problem with continuous demand on a network
(Springer, 2013)
Where to locate one or several facilities on a network so as to minimize the expected users-closest facility transportation ... |
Artículo
Locating a semi-obnoxious covering facility with repelling polygonal regions
(ELSEVIER SCIENCE BV, 2013)
A facility is to be located in the Euclidean plane to serve certain sites by covering them closely. Simultaneously, a set ... |
Artículo
A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions
(PERGAMON-ELSEVIER SCIENCE LTD, 2013)
The double Pareto Lognormal(dPlN) statistical distribution, defined interms of both an exponentiated skewed Laplace ... |
Artículo
Variable neighborhood search for minimum sum-of-squares clustering on networks
(ELSEVIER SCIENCE BV, 2013)
Euclidean Minimum Sum-of-Squares Clustering amounts to finding p prototypes by minimizing the sum of the squared Euclidean ... |
Artículo
Single-facility huff location problems on networks
(Springer, 2013)
Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, ... |
Artículo
Multi-instance classification through spherical separation and VNS
(PERGAMON-ELSEVIER SCIENCE LTD, 2013)
A two-class classification problem is considered where the objects to be classified are bags of instances in d-space. The ... |
Artículo
rs-Sparse principal component analysis: A mixed integer nonlinear programming approach with VNS
(PERGAMON-ELSEVIER SCIENCE LTD, 2013)
Principal component analysis is a popular data analysis dimensionality reduction technique, aiming to project with minimum ... |
Artículo
Time series interpolation via global optimization of moments fitting
(ELSEVIER SCIENCE BV, 2013)
Most time series forecasting methods assume the series has no missing values. When missing values exist, interpolation ... |
Artículo
Supervised classification and mathematical optimization
(Elsevier, 2013)
Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, ... |
Artículo
Solving Multifacility Huff Location Models on Networks Using Variable Neighborhood Search and Multi-Start Local Search Metaheuristics
(Elsevier, 2012)
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 is reported. |
Artículo
VNS heuristic for the (r|p)-centroid problem on the plane
(Elsevier, 2012)
In the (r | p)-centroid problem, two players, called leader and follower, open facilities to service clients. We assume ... |
Artículo
A computational study of a nonlinear minsum facility location problem
(PERGAMON-ELSEVIER SCIENCE LTD, 2012)
A discrete location problem with nonlinear objective is addressed. A set of p plants is to be open to serve a given set ... |
Ponencia
Modelo estadístico para la predicción del índice estandarizado de sequía pluviométrica (IESP) en Andalucía
(Universidad de Salamanca, 2012)
La comunicación aborda el diseño de un modelo estadístico de predicción dinámica de la sequía en Andalucía y su persistencia ... |
Artículo
Gaussian variable neighborhood search for continuous optimization
(PERGAMON-ELSEVIER SCIENCE LTD, 2012)
Variable Neighborhood Search (VNS) has shown to be a powerful tool for solving both discrete and box-constrained continuous ... |
Artículo
Maximizing upgrading and downgrading margins for ordinal regression
(Springer, 2011)
In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of ranked ... |
Artículo
Locating a competitive facility in the plane with a robustness criterion
(Elsevier, 2011)
A new continuous location model is presented and embedded in the literature on robustness in facility location. The ... |
Artículo
On approximate Monetary Unit Sampling
(ELSEVIER SCIENCE BV, 2011)
Monetary Unit Sampling (MUS), also known as Dollar-Unit Sampling, is a popular sampling strategy in Auditing, in which all ... |
Artículo
Detecting relevant variables and interactions in supervised classification
(Elsevier, 2011)
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. ... |
Artículo
A global optimization procedure for the location of a median line in the three-dimensional space
(ELSEVIER SCIENCE BV, 2011)
A global optimization procedure is proposed to find a line in the Euclidean three-dimensional space which minimizes the ... |
Artículo
On minimax-regret Huff location models
(Elsevier, 2011)
We address the following single-facility location problem: a firm is entering into a market by locating one facility in a ... |
Artículo
Sum-of-squares clustering on networks
(University of Belgrade, 2011)
Finding p prototypes by minimizing the sum of the squared distances from a set of points to its closest prototype is a ... |
Artículo
Minmax-distance approximation and separation problems: geometrical properties
(Springer, 2010)
A center hyperplane in the d-dimensional space minimizes the maximum of its distances from a finite set of points A with ... |
Artículo
Unequal probability sampling from a finite population: A multicriteria approach
(ELSEVIER SCIENCE BV, 2010)
In this note we address the problem of determining selection probabilities for multipurpose surveys, when the aim is the ... |
Artículo
Alternating local search based VNS for linear classification
(Springer, 2010)
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We ... |
Artículo
Binarized support vector machines
(INFORMS (Institute for Operations Research and Management Sciences), 2010)
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification ... |
Artículo
On the norm of a dc function
(Springer, 2009)
It is well known that, if a vector-valued function can be written as difference of componentwise convex functions, the ... |
Artículo
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
(Springer, 2009)
The Big Triangle Small Triangle method has shown to be a powerful global optimization procedure to address continuous ... |
Artículo
Locating Objects in the Plane Using Global Optimization Techniques
(Informs, 2009)
We address the problem of locating objects in the plane such as segments, arcs of circumferences, arbitrary convex sets, ... |
Artículo
Different numerical methods in the study of passive scalar transport in a pipeline x-junction
(ELSEVIER SCIENCE BV, 2009)
A computational fluid dynamic model is used to analyze the transport processes of a passive scalar generated in the mixing ... |
Artículo
Optimal expected-distance separating halfspace
(INFORMS (Institute for Operations Research and Management Sciences), 2008)
One recently proposed criterion to separate two datasets in discriminant analysis, is to use a hyperplane which minimises ... |
Artículo
Multi-group support vector machines with measurement costs a biobjective approach
(Elsevier, 2008)
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we ... |
Capítulo de Libro
Dimensionality Reduction for Classification: Comparison of Techniques and Dimension Choice
(Springer, 2008)
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class ... |
Tesis Doctoral
Optimization-based methods for classification and regression problems with imprecise data
(2008)
En esta tesis, desarrollamos varias herramientas para resolver problemas de clasificación y regresión donde los elementos ... |
Artículo
On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification
(Informs, 2007)
The nearest-neighbor classifier has been shown to be a powerful tool for multiclass classification. We explore both ... |
Artículo
A biobjective method for sample allocation in stratified sampling
(Elsevier, 2007)
The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified ... |
Artículo
Inferring efficient weights from pairwise comparison matrices
(Springer, 2006)
Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, ... |
Artículo
Two-group classification via a biobjective margin maximization model
(ELSEVIER SCIENCE BV, 2006)
In this paper we propose a biobjective model for two-group classification via margin maximization, in which the margins ... |
Artículo
An exact global optimization method for deriving weights from pairwise comparison matrices
(Springer, 2006)
Some multiple-criteria decision making methods rank actions by associating weights to the different criteria or actions, ... |
Artículo
A biobjective method for sample allocation in stratified sampling
(ELSEVIER SCIENCE BV, 2006)
The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified ... |
Tesis Doctoral
Programación matemática para las máquinas de vector de apoyo: mathematical programming for support vector machines
(2006)
En esta Tesis Doctoral, presentamos algunas propuestas en las que las herramientas de la Programación Matemática se usan ... |
Artículo
Deriving Weights in Multiple-Criteria Decision Making with Support Vector Machines
(Springer, 2006)
A key problem in Multiple-Criteria Decision Making is how to measure the importance of the different criteria when just a ... |
Artículo
Máquinas de vector de apoyo: problemas de programación matemática en clasificación
(Sociedad de Estadística e Investigación Operativa, 2005)
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Artículo |
Artículo
Optimal location and design of a competitive facility
(Springer, 2004)
A single facility has to be located in competition with fixed existing facilities of similar type. Demand is supposed to ... |
Artículo
An Exact Method for Fractional Goal Programming
(Springer, 2004)
Goal Programming with fractional objectives can be reduced to mathematical programming with a linear objective under linear ... |
Artículo
Robust facility location
(Springer, 2003)
Let A be a nonempty finite subset of the plane representing the geographical coordinates of a set of demand points (towns, ... |
Artículo
Improving Interval Analysis Bounds by Translations
(Springer, 2003)
We explore how a simple linear change of variable affects the inclusion functions obtained with Interval Analysis methods. ... |
Artículo
Problemas de clasificación y optimización
(Real Academia Sevillana de Ciencias, 2003)
El desarrollo de técncias que permitan clasificar entes (seres vivos, elementos, problemas, ... ) en distintas categorías ... |
Artículo
Generalized goal programming: polynomial methods and applications
(Springer, 2002)
In this paper we address a general Goal Programming problem with linear objectives, convex constraints, and an arbitrary ... |
Artículo
Pareto-Optimality in Linear Regression
(Academic Press Inc. Elsevier Science, 2002)
In this paper the linear regression problem is studied in the context of vector optimization theory. The set of Pareto-optimal ... |
Artículo
Optimal Positioning of a Mobile Service Unit on a Line
(Springer, 2002)
In this paper we address the problem of locating a mobile response unit when demand is distributed according to a random ... |
Artículo
A DC biobjective location model
(Springer, 2002)
In this paper we address the biobjective problem of locating a semiobnoxious facility, that must provide service to a given ... |
Artículo
A fractional model for locating semi-desirable facilities on networks
(ELSEVIER SCIENCE BV, 2002)
In this paper, we address the problem of locating a series of facilities on a network maximizing the average distance to ... |
Artículo
An optimal bound for d.c. programs with convex constraints
(Springer, 2001)
A well-known strategy for obtaining a lower bound on the minimum of a d.c. function f−g over a compact convex set S⊂ℝn ... |
Artículo
Gauge Distances and Median Hyperplanes
(Springer, 2001)
A median hyperplane in d-dimensional space minimizes the weighted sum of the distances from a finite set of points to it. ... |
Artículo
Finding the principal points of a random variable
(EDP Sciences, 2001)
The p-principal points of a random variable X with finite second moment are those p points in R minimizing the expected ... |
Artículo
Finding GM-estimators with global optimization techniques
(Springer, 2001)
In this note we address the problem of finding the GM-estimator for the location parameter of a univariate random variable. ... |
Artículo
On Covering Methods for D.C. Optimization
(Springer, 2000)
Covering methods constitute a broad class of algorithms for solving multivariate Global Optimization problems. In this ... |
Artículo
Optimization of the Norm of a Vector-Valued DC Function and Applications
(Springer, 2000)
In this paper, we show that a DC representation can be obtained explicitly for the composition of a gauge with a DC mapping, ... |
Artículo
Solving nonconvex planar location problems by nite dominating sets
(Springer, 2000)
It is well-known that some of the classical location problems with polyhedral gauges can be solved in polynomial time by ... |
Artículo
Dominators for multiple-objective quasiconvex maximization problems
(Springer, 2000)
In this paper we address the problem of finding a dominator for a multiple-objective maximization problem with quasiconvex ... |
Artículo
Undesirable facility location with minimal covering objectives
(ELSEVIER SCIENCE BV, 1999)
An undesirable facility is to be located within some feasible region of any shape in the plane or on a planar network. ... |
Artículo
Combining minsum and minmax: A goal programming approach
(INST OPERATIONS RESEARCH MANAGEMENT SCIENCES, 1999)
A number of methods for multiple-objective optimization problems (MOP) give as solution to MOP the set of optimal solutions ... |
Tesis Doctoral |
Artículo
Polynomial algorithms for parametric minquantile and maxcovering planar location problems with locational constraints
(Springer, 1998)
A location is sought within some convex region of the plane for the central site of some public service to a finite number ... |
Artículo
Locating an undesirable facility by generalized cutting planes
(Informs, 1998)
We address the problem of locating an undesirable facility within a compact set by minimizing a strictly decreasing boundedly ... |
Artículo
Admission Policies in Loss Queueing Models with Heterogeneous Arrivals
(INST OPERATIONS RESEARCH MANAGEMENT SCIENCES, 1998)
In this paper we consider a loss system where the arrivals can be classified into different groups according to their ... |
Artículo
Dominating sets for convex functions with some applications
(Springer, 1998)
A number of optimization methods require as a rst step the construction of a dominating set (a set containing an optimal ... |
Artículo
A note on the optimal positioning of service units
(INST OPERATIONS RESEARCH MANAGEMENT SCIENCES, 1998)
In this paper we address the problem of locating p mobile service units in an n-dimensional space minimizing the expected ... |
Artículo
Location and shape of a rectangular facility in ℝn. Convexity properties. Convexity properties
(Springer, 1998)
In this paper we address a generalization of the Weber problem, in which we seek for the center and the shape of a rectangle ... |
Artículo
Maximin location: discretization not always works
(Springer, 1998)
In this note we show by means of a simple example that, if the maximin problem with (nonlinear) concave increasing utility ... |
Artículo
Semi-obnoxious location models: a global optimization approach
(Elsevier, 1997)
In the last decades there has been an increasing interest in environmental topics. This interest has been reflected in ... |
Artículo
Weber problems with alternative transportation systems
(ELSEVIER SCIENCE BV, 1997)
In this paper we address a planar p-facility location problem where, together with a metric induced by a gauge, there ... |
Artículo
The Weber problem with regional demand
(ELSEVIER SCIENCE BV, 1996)
This paper is devoted to the study of the Regional Weber Problem, an extension of the Weber problem which allows the demand ... |
Artículo
A characterization of halfspace depth
(Elsevier, 1996)
In this note we present a characterization of halfspace depth which relates it with well-known concepts of Locational ... |
Artículo
A characterization of efficient points in constrained location problems with regional demand
(ELSEVIER SCIENCE BV, 1996)
In this paper we characterize the set of efficient points in the planar point-objective location problem under a convex ... |
Artículo
The generalized Weber problem with expected distances
(EDP Sciences, 1995)
In this paper we study a generalized Weber problem where both demand locations and the facility to be located may be regions ... |
Artículo
Multi-criteria analysis with partial information about the weighting coefficients
(ELSEVIER SCIENCE BV, 1995)
In this paper we address the problem of ranking a set of alternatives with partial information about the weighting ... |
Artículo
A discretizing algorithm for location problems
(ELSEVIER SCIENCE BV, 1995)
A new and simple methodology is proposed to solve both constrained and unconstrained planar continuous single-facility ... |
Artículo
The determination of a "least quantile of squares regression line" for all quantiles
(Elsevier Science, 1994)
Least median of squares regression has shown to be an extremely useful tool in robust regression analysis. In this note, ... |
Artículo
Multi-criteria analysis with partial information about the weighting coefficients
(ELSEVIER SCIENCE BV, 1993)
In this paper we address the problem of ranking a set of alternatives with partial information about the weighting ... |
Artículo
Efficiency in Euclidean constrained location problems
(ELSEVIER SCIENCE BV, 1993)
In this note we present geometrical characterizations for the set of efficient, weakly efficient and properly efficient ... |
Tesis Doctoral
Problemas de localización multiobjetivo
(1992)
El objetivo del presente trabajo es el estudio de ciertos aspectos del problema multiobjetivo P (A, S) cuando el conjunto ... |
Artículo
A management tool for indicator-supported systems: A public health service application
(ELSEVIER SCIENCE BV, 1992)
We develop a decision-making methodology for hierarchical structures. It provides different decision makers with ... |
Artículo
El conjunto eficiente en problemas de localización con normas mixtas (L p)
(Sociedad Española de Estadística e Investigación Operativa, 1991)
En el presente trabajo establecemos una nueva aproximación a la solución del problema de localización con normas mixtas a ... |