This paper investigates the dynamic pricing strategies of firms selling complementary products in a marketing channel. The problem is modelled as a non-coo...

Currently, power system operations planning practices are undergoing various transformations in an attempt to integrate efficiently significant amounts of su...

Given a complete directed graph \(G\) with weights on the vertices and on the arcs, a \(\theta\)-improper \(k\)-coloring is an assignment of at most `...

We propose a primal algorithm for the Set Partitioning Problem based on the Integral Simplex Using Decomposition of Zaghrouti et al. (2014). We present the a...

This paper describes three recent tools for dealing with primal degeneracy in linear programming. The first one is the Improved Primal Simplex (IPS) algor...

Since its introduction in 1969, the set partitioning problem has received much attention, and the structure of its feasible domain has been studied in detail...

Modern power systems are undergoing a transitional phase, increasingly incorporating variable generation (VG) to harness the economic and environmental benef...

Until recently, graph coloring being a computationally difficult problem, completely dynamic channel allocation was not considered in large scale networks. T...

We characterize equilibrium pricing strategies in a marketing channel in two scenarios. In the first scenario, the manufacturer chooses the wholesale price...

The <b>VRPTW-ST</b> introduced by Errico et al. (2013) in the form of a chance-constrained model mainly differs from other vehicle routing problems with st...

In this paper we consider the vehicle routing problem with hard time windows and stochastic service times (VRPTW-ST); in this variant of the classic VRPTW ...

Column generation for solving linear programs with a huge number of variables alternates between solving a master problem and a pricing subproblem to add var...

Given a directed graph with weights on the vertices and on the arcs, a &theta;-improper <i>k</i>-coloring is an assignment of at most <i>k</i> different colo...

Column generation for solving linear programs with a huge number of variables alternately solves a (restricted) master problem and a pricing subproblem to ad...

Dans cet article, on raconte l'histoire de l'équipe GENCOL et du logiciel d'optimisation du même nom. C'est avant tout le récit d'une collaboration qui se po...

This paper presents an efficient approach for realistic modelling of internal transport systems. The weakness of the former methods in tracking the traffic w...

This paper presents a new generic architecture for the implementation of an intelligent simulation-based real-time control in large-scale discrete-events sys...

The Dutch railway network experiences about three large disruptions per day on average. In this paper, we present an algorithm to reschedule the crews when s...

This paper presents an overview of the column generation method developed at the GERAD research center in Montr&#39;eal for solving large scale vehicle routing ...

Column generation algorithms are instrumental in many areas of applied optimization, where linear programs with an enormous number of columns need to be so...