Emilio Carrizosa

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Optimal location and design of a competitive facility

Frank Plastria, Emilio Carrizosa, F. Plastria, 2004, Math. Program..

Semi-obnoxious location models: A global optimization approach

Eduardo Conde, Emilio Carrizosa, Dolores Romero-Morales, 1997 .

Embedding the production policy in location-allocation decisions

Emilio Carrizosa, Pepa Ramírez-Cobo, Alba V. Olivares-Nadal, 2019, 4OR.

A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions

Emilio Carrizosa, Pepa Ramírez-Cobo, Jelena Jockovic, 2014, Comput. Oper. Res..

Sparsity in Optimal Randomized Classification Trees

Emilio Carrizosa, Dolores Romero Morales, Rafael Blanquero, 2020, Eur. J. Oper. Res..

Variable Neighborhood Search for parameter tuning in Support Vector

Emilio Carrizosa, Belen Martin-Barragan, 2013 .

Admission Policies in Loss Queueing Models with Heterogeneous Arrivals

Eduardo Conde, Emilio Carrizosa, M. Munoz-Marquez, 1998 .

A global optimization method for model selection in chemical reactions networks

Emilio Carrizosa, Rafael Blanquero, Asunción Jiménez-Cordero, 2016, Comput. Chem. Eng..

Maximizing upgrading and downgrading margins for ordinal regression

Emilio Carrizosa, Belen Martin-Barragan, Belén Martín-Barragán, 2011, Math. Methods Oper. Res..

Solving multifacility Huff location models on networks using metaheuristic and exact approaches

Emilio Carrizosa, Dragan Urošević, Nenad Mladenović, 2017, Comput. Oper. Res..

On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2007, INFORMS J. Comput..

A heuristic for tuning the kernel in dynamic clustering

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2014 .

Continuous location problems and Big Triangle Small Triangle: constructing better bounds

Emilio Carrizosa, Rafael Blanquero, 2009, J. Glob. Optim..

A nested heuristic for parameter tuning in Support Vector Machines

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2014, Comput. Oper. Res..

Continuous optimisation techniques for optimal aiming strategies in solar power tower plants

Emilio Carrizosa, Enrique Fernández-Cara, Thomas Ashley, 2019, Solar Energy.

Multi-group Support Vector Machines with

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2007 .

Simpson Points in Planar Problems with Locational Constraints. The Polyhedral-Gauge Case

Justo Puerto, Eduardo Conde, Emilio Carrizosa, 1997, Math. Oper. Res..

Vulnerability Assessment of Spatial Networks: Models and Solutions

Francisco Pérez-Galarce, Alfredo Candia-Véjar, Emilio Carrizosa, 2014, ISCO.

A biobjective model to select features with good classification quality and low cost

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Comments on: Distance geometry and data science

Emilio Carrizosa, Emilio Carrizosa, 2020, TOP.

Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality

Emilio Carrizosa, Alfredo Marín, Mercedes Pelegrín, 2020, IEEE Systems Journal.

Field-design optimization with triangular heliostat pods

Emilio Carrizosa, Sebastian-James Bode, Paul Gauché, 2016 .

Selection of time instants and intervals with Support Vector Regression for multivariate functional data

Emilio Carrizosa, Rafael Blanquero, Asunción Jiménez-Cordero, 2020, Comput. Oper. Res..

Threshold robustness in discrete facility location problems: a bi-objective approach

Igor Vasil'ev, Anton V. Ushakov, Emilio Carrizosa, 2015, Optim. Lett..

Optimal Design of Solar Power Tower Systems

Emilio Carrizosa, Enrique Fernández-Cara, M. Quero, 2014 .

Multi-group support vector machines with measurement costs: A biobjective approach

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2008, Discret. Appl. Math..

Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization

Emilio Carrizosa, Albert Satorra, Vanesa Guerrero, 2019, Multivariate behavioral research.

Binarized Support Vector Machines

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2010, INFORMS J. Comput..

A bi-objective model for time-evolving clustering

Emilio Carrizosa, Dolores Romero Morales, Belen Martin-Barragan, 2015 .