In the recent years, the development of new algorithms for multiobjective optimization has considerably grown. A large number of performance indicators has...

A hyper-heuristic refers to a search method or a learning mechanism for selecting or generating heuristics to solve computational search problems. Operat...

In this paper, we develop algorithmic approaches for a recently defined class of games, the integer programming games. Two general methods to approximate an...

In this paper, we study the problem of responsibility sharing for product recovery, and its relation to the design of Extended Producer Responsibility (EPR) ...

A new solution approach is developed herein to address the topic of multi-product open-pit mine production scheduling with multi-element uncertainty. The m...

This paper addresses the problem of distributing uniformly infrared radiative energy intercepted by a thermoplastic sheet surface during the infrared radiati...

We study an integrated process configuration, lot-sizing, and scheduling problem, which appears in a real production environment in the packaging industry. P...

In this paper, we consider a two-species fishery model where the species can have different biological interactions, namely, competitive, symbiotic or prey...

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...