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...

Shared storage policy allows more flexible use of space than that allowed by the dedicated storage policy. This paper addresses duration-of-stay based shared...

Real-world routing problems are often represented by large and complex models, and instances of realistic size are very hard to solve. In most cases one ca...

Since its appearance in 1947, the primal simplex algorithm has been one of the most popular algorithm for solving linear programs. It is very efficient wh...

Column generation has proven to be efficient in solving the linear programming relaxation of large scale instances of the Multiple-Depot Vehicle Scheduling ...

The fractional aircraft market is the fastest growing segment of the business aircraft industry. A fractional aircraft operation is complex - essentially an...

Column Generation (CG) algorithms are instrumental in many areas of applied optimization, where Linear Programs with an enormous number of columns need to ...

We give a didactic introduction to the use of the column generation technique in linear and in particular in integer programming. We touch on both, the relev...

This paper proposes a generalization of the proximal point algorithm using both penalty and trust region concepts. Finite convergence is established while as...

This paper presents an enumeration algorithm based on dynamic programming for optimally solving the fleet management problem in underground mines. This probl...