There has been a lot of interest recently on the energy efficiency and environmental impact of wireless networks. Given that the base stations are the netw...

This paper addresses combinatorial optimization problems under uncertain and correlated data where the mean-covariance information of the random data is assu...

We address a three-level lot sizing and replenishment problem with a distribution structure (3LSPD), which is an extension of the one-warehouse multi-retaile...

We consider an integrated planning problem that combines production, inventory and inbound transportation decisions in a context where several suppliers each...

This article describes a new model aiming at optimizing short- and medium-term underground mine scheduling. The complexity of the problem to solve and the fr...

The Time Window Assignment Vehicle Routing Problem (TWAVRP) is the problem of assigning time windows for delivery before demand volume becomes known. This i...

Personnel scheduling aims at determining the cheapest work schedules to cover the demand for one or more tasks at each period of a given horizon. During the ...

In this paper, we address a personalized multi-department multi-day shift scheduling problem with a multi-skill heterogeneous workforce where employees can b...

It is well known that strategic consumers can harm firms' profits by delaying their purchases, to buy at discounted price. A retailer can induce consumers ...

This paper studies the strategic behavior of firms competing in the exploitation of a common-access productive asset, in the presence of pollution external...

Vehicle routing problems (VRPs) are among the most studied problems in operations research. Nowadays, the leading exact algorithms for solving many classes o...

We describe LNLQ for solving the least-norm problem \(\min\ \|x\|\) subject to \(Ax=b\). Craig's method is known to be equivalent to applying the conjug...

The parallel space decomposition of the Mesh Adaptive Direct Search algorithm (PSD-MADS proposed in 2008) is an asynchronous parallel method for constrained ...

Nanotherapy represents a promising approach to target tumors with anticancer drugs while minimizing systemic toxicity. Evaluation of nanoparticle (NP) design...

We consider the problem of pricing and advertising a one-time entertainment event. We assume that the organizers want to sell all available tickets. Thre...

Derivative-free optimization (DFO) is the mathematical study of the optimization algorithms that do not use derivatives. One branch of DFO focuses on model-...

Metros and other rapid transit systems increase the mobility of urban populations while decreasing congestion and pollution. There are now 187 cities with a ...

Clustering is the subject of active research in several fields such as operations research, statistics, pattern recognition, and machine learning. The range ...

This paper focuses on the traveling salesman problem with time windows (TSPTW) that arises in postal services and parcel deliveries and has features differin...

This paper introduces two classes of location problems with interconnected facilities. These problems differ from classical location problems in the sense ...