Experts in: Metaheuristic
GENDREAU, Michel
Professeur associé
- Operations research
- Transports
- Transportation networks
- Metaheuristic
- Optimization of transport systems
- Stochastic optimization
- Machine learning
- Logistics
My main research area is the application of operations research to transportation and telecommunication planning. A large portion of my work deals with the development of efficient metaheuristics for solving difficult problems in this area. As co-director of the Laboratory on Intelligent Transportation Systems of the Centre for Research on Transportation, I am also very interested in all real-time transportation planning problems.
POTVIN, Jean-Yves
Professeur titulaire
- Genetic algorithm
- Logistics
- Metaheuristic
- Vehicle routing problem
- Tabu search
- Transports
- Combinatorial optimization
- Communication protocol
- Network design
- Machine learning
- Parallel computing
- Artificial intelligence
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.