Robust optimization is a methodology that has gained a lot of attention in the recent years. This is mainly due to the simplicity of the modeling process and...

Since the financial crisis of 2007-2009, there has been a renewed interest toward quantifying more appropriately the risks involved in financial positions. P...

Facility location decisions play a critical role in transportation planning. In fact, it has recently become essential to study how such commitment integrate...

Les algorithmes de simulation et régression sont désormais un outil de base dans plusieurs domaines d'application de la programmation dynamique, notamment en...

Although stochastic programming is probably the most effective frameworks for handling decision problems that involve uncertain variables, it is always a cos...

The problem of coordinating a fleet of vehicles so that all demand points on a territory are serviced and that the workload is most evenly distributed among ...