In this paper we propose novel methodologies to optimally construct Support Vector
Machine-based classifiers that take into account that label noise occur in the training …

This paper provides a mathematical optimization framework to incorporate fairness
measures from the facilities' perspective to discrete and continuous maximal covering …

This paper introduces a general modeling framework for a multi-type maximal covering
location problem in which the position of facilities in different normed spaces are …

This paper deals with a cost sensitive extension of the standard Support Vector Machine
(SVM) using an ordered weighted sum of the deviations of misclassified individuals with …

This paper considers the optimisation problems that arise in coordinating a tandem between
a mothership vehicle and a fleet of drones. Each drone can be launched from the …

In this paper, we present a novel SVM-based approach to construct multiclass classifiers by
means of arrangements of hyperplanes. We propose different mixed integer (linear and non …

In this paper, we extend the methodology developed for Support Vector Machines (SVM)
using the l 2-norm (l 2-SVM) to the more general case of lp-norms with p> 1 (lp-SVM). We …

In this paper we analyze a continuous version of the maximal covering location problem, in
which the facilities are required to be linked by means of a given graph structure (provided …

The classical p-median problem assumes that service to customers is always provided by
the closest facility, while in practice, customers often interact for a variety of reasons with …

One of the classic foundational constructs of Location Science was proposed by Alfred
Weber in 1909. His construct involved finding the location for a single production facility …