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
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