I am involved in fundamental and applied research projects. Using heuristic methods I have been dealing with timetabling problems issued from several contexts. More recently, my research interests also include applications in health care. I also develop experimental decision support systems to allow potential users to appreciate the benefit and the easiness of using these methods.

We have defined a general formulation for several timetabling problems. We have also done more fundamental research on heuristic techniques such as exchange procedures, Tabu search, simulated annealing and genetic algorithms to analyse their efficiency and to specify hybrids of these. Finally we have recently extended the analysis of generalized convexity for functions to study generalized motonone maps.

My research interests focus on the development of metaheuristics, such as tabu search and genetic algorithms, for solving discrete optimization problems in the transportation domain. I am particularly interested in vehicle routing problems with different side constraints, like service time windows at customer locations. These problems can model many real-world applications such as distribution of goods by commercial vehicles, courier services, para-transit services, etc. I also study dynamic variants of these problems when customer requests dynamically occur over time and must be integrated in real-time into the current routes.