Interior-point methods feature prominently among numerical methods for inequality-constrained optimization problems, and involve the need to solve a sequ...

This paper presents a decomposition approach for solving a variant of the Routing and Wavelength Assignment (RWA) problem, in which all connection requests a...

We model the role of the world's forests as a major carbon sink and consider the impact that forest depletion has on the accumulation of CO₂ in ...

Application of the dispersion models in order to address the cannibalization phenomenon within franchised chains is a new approach. In this work we have deve...

Community detection in networks has been studied extensively in the last decade. Many criteria, expressing the quality of the partitions obtained, as well ...

Reduced RLT constraints are a special class of Reformulation-Linearization Technique (RLT) constraints. They apply to nonconvex (both continuous and mixed-...

Given a set of entities, cluster analysis aims at finding subsets, also called clusters or communities or modules, entities of which are homogeneous and well...

We consider a two-period closed-loop supply chain (CLSC) game where a remanufacturer appropriates of the returns' residual value and decides whether to exc...

In this paper, we provide a decomposition over time of Shapley value for dynamic stochastic discrete-time games, where the uncertainty is described by an eve...

Blackbox optimization typically arises when the functions defining the objective and constraints of an optimization problem are computed through a computer...

Finding clusters, or communities, in a graph, or network is a very important problem which arises in many domains. Several models were proposed for its solu...

This work introduces the use of the treed Gaussian process (TGP) as a surrogate model within the mesh adaptive direct search (MADS) framework for constrain...

The Mesh Adaptive Direct Search (MADS) class of algorithms is designed for nonsmooth optimization, where the objective function and constraints are typical...

The MaxSumSum (maximum diversity) problem consists of the selection of <i>p</i> facilities among <i>n</i> candidate locations in a way that the total sum ...

The airline fleet assignment problem (FAP) consists of assigning an aircraft type to each flight leg of a flight schedule in order to maximize the airline ...

We consider a problem of groundwater management in which a group of farmers overexploits a groundwater stock and causes excessive pollution. A Water Agency...

In the absence of an international environmental agreement (IEA) on climate change, a country may be reluctant to unilaterally implement environmental acti...

Dynamic constraint aggregation (DCA) and dual variable stabilization (DVS) are two methods that can reduce the negative impact of degeneracy when solvi...

Stochastic programming can yield significant savings over deterministic approaches. For example, the stochastic approach for the shift scheduling problem sol...

Dispersion problems consist of the selection of a fixed number of vertices from a given set so that some function of the distances among the vertices is maxi...