Axis 2: Decision support made in complex systems
The complexity of decision support systems can take many forms. Some optimization problems involve millions of variables and constraints. Others are made up of highly nonlinear functions, obtained by simulations requiring a long computation time. The complexity can also be due to the large number of agents who act without coordination on the system. This line of research aims to design a range of algorithms adapted to the characteristics of these systems, to apply them to real problems, and to analyze their convergence.
Members
Yossiri Adulyasak
Member, GERAD
Stéphane Alarie
Associated member, GERAD
Charles Audet
Member, GERAD
Olivier Bahn
Member, GERAD
Pierre Baptiste
Member, GERAD
Jean Bigeon
Associated member, GERAD
François Bouffard
Member, GERAD
Michèle Breton
Member, GERAD
Jack Brimberg
Associated member, GERAD