In this paper, we study how uncertainties weighing on the climate system impact the optimal technological pathways the world energy system should take to com...

Branch-price-and-cut is a leading methodology for solving various vehicle routing problems (VRPs). For many VRPs, the pricing problem of a branch-price-and-c...

We analyze a transboundary pollution differential game where pollution control is spatially distributed among a number of agents with predetermined spatial r...

In the present paper we are interested in the study of the distance Laplacian eigenvalues of a connected graph with fixed order \(n\) and chromatic number ...

We consider a class of dynamic games played over an event tree, with random terminal. We assume that the players wish to jointly optimize their payoffs thr...

The Mesh Adaptive Direct Search algorithm (MADS) is an iterative method for constrained blackbox optimization problems. One of the optional MADS features i...

Two-level orthogonal designs play an important role in industrial screening experiments, in which the primary goal is to identify the treatment factors with ...

Network characterization and modelling is an important issue to understand and monitor IP network performance, in particular for real-time multimedia appli...

This paper develops an international-trade game with two locally regulated producers. They may freely export but have to sell in their local market at a pric...

In this paper, we propose an integer programming model for obtaining lower bounds for the curriculum-based course timetabling problem, in which weekly assign...

For positive definite linear systems (or semidefinite consistent systems), we use Gauss-Radau quadrature to obtain a cheaply computable upper bound on the ...

This paper describes a vector space decomposition algorithmic framework for linear programming guided by dual feasibility considerations. The resolution pro...

We consider a dynamic game with a corrupt government and multiple civil society organizations as the players. We characterize feedback Stackelberg equilibr...

Synchronization of workers and vehicles plays a major role in many industries such as logistics, healthcare or airport ground handling. In this paper, we fo...

This paper studies the impact of service level constraints in the context of the capacitated and uncapacitated lot sizing problems with deterministic demand ...

Blackbox optimization problems are often contaminated with numerical noise, and direct search methods such as the Mesh Adaptive Direct Search (MADS) algorit...

We present a new derivative-free trust-region (DFTR) algorithm to solve general nonlinear constrained problems with the use of an augmented Lagrangian m...

We study derivative-free constrained optimization problems and propose a trust-region method that builds linear or quadratic models around the best feasible ...

Airline crew scheduling is typically performed in two steps : crew pairing followed by crew assignment. The crew pairing problem (CPP) finds a set of pairing...

We consider within the framework of Mean Field Games theory a dynamic discrete choice model with an advertiser, where a large number of minor agents (e.g., c...