Simple, intuitive, and scalable to large problems, \(k\)-means clustering is perhaps the most frequently-used technique for unsupervised learning. However...

With the increasing penetration of renewable energy sources in the electrical power grid, demand response via thermostatic appliances such as electric wate...

The airline crew scheduling problem, because of its size and complexity, is usually solved in two phases: the crew pairing problem and the crew assignment pr...

Scheduling problems on which constraints are imposed with regard to the temporal distances between successive executions of the same task have numerous appli...

In this article we consider a bi-objective vehicle routing problem in which, in addition to the classical minimization of the total routing cost, the operato...

Any telecommunication network is subject to a node or link failure at any given time. Such a failure may impact the quality of the services provided by the n...

We consider a static team problem in which agents observe correlated Gaussian observations and seek to minimize a quadratic cost. It is assumed that the ob...

Personnel scheduling consists of determining least-cost employee work schedules to cover the demand of one or several jobs in each period of a time horizon. ...

Most papers on digital advertising focus on the point of view of Internet companies such as Google and Microsoft, and were written by people working for thos...

The problem of output stabilization is studied for a class of linear hybrid systems subject to signal uncertainties: linear impulsive systems under dwell-t...

In this article, we discuss an alternative method for deriving conservative approximation models for two-stage robust optimization problems. The method main...

La Guinée maritime est une région qui s'ouvre sur l'océan atlantique sur environ 300 km de côte. Celle-ci est caractérisée par la présence presque continue d...

Cet article propose un modèle de planification hiérarchique capable d’effectuer de manière systématique le lien entre les exigences opérationnelles et de...

The vertex cover problem and the dominating set problem are two well-known problems in graph theory. Their goal is to find the minimum size of a vertex subse...

Location-routing problems (LRPs) with intra-route facilities have recently gained the attention of researchers and practitioners. Intra-route facilities are ...

The Runge-Kutta class of iterative methods is designed to approximate solutions of a system of ordinary differential equations (ODE). The second-order cla...

We consider the problems of determining the metric dimension and the minimum cardinality of doubly resolving sets in \(n\)-cubes. Most heuristics develope...

We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to te...

Facility layout is a well-known operations research problem that arises in various applications. The multi-row layout is a challenging optimization problem...

This work presents a collaborative scheme for the end-users in a smart building with multiple housing units. This approach determines a day-ahead operational...