80 citations · 157 across the 7 of their papers we have counts for
10 papers
Constraint relaxation for the Discrete Ordered Median Problem
Luisa I. Martínez-Merino, Diego Ponce, Justo Puerto
This paper compares different exact approaches to solve the Discrete Ordered Median Problem (DOMP). In recent years, DOMP has been formulated using set packing constraints giving r…
Multi-product maximal covering second-level facility location problem
Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This paper introduces a new hierarchical facility location model with three levels: first-level facilities which manufacture different products, second-level facilities which act a…
The profit-oriented hub line location problem with elastic demand
Brenda Cobeña, Ivan Contreras, Luisa I. Martínez-Merino +1
This paper deals with an extension of the hub line location problem considering demand elasticity with respect to travel times. The proposed model aims to capture the impact the hu…
Multi-period stochastic covering location problems: Modeling framework and solution approach
Alfredo Marín, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía +1
This paper introduces a very general discrete covering location model that accounts for uncertainty and time-dependent aspects. A MILP formulation is proposed for the problem. Afte…
The probabilistic p-center problem: Planning service for potential customers
Luisa I. Martínez-Merino, Maria Albareda-Sambola, Antonio M. Rodríguez-Chía
This work deals with the probabilistic p-center problem, which aims at minimizing the expected maximum distance between any site with demand and its center, considering that each s…
A robust SVM-based approach with feature selection and outliers detection for classification problems
Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This paper proposes a robust classification model, based on support vector machine (SVM), which simultaneously deals with outliers detection and feature selection. The classifier i…