Optimization stochastique pour les grands systèmes — Stochastic Optimization for Large-Scale Systems

Sensors and data abound. This spatial and temporal information is supposed to allow a better management -- in new energy systems, transport or eco-industrial parks, to quote a few examples. This leads to problems of large-scale optimization, the formulation of which is delicate. Indeed, one needs to take into account at least three dimensions: temporal (stages of decision, dynamics, inertia), spatial (different decision units connected by flows), stochastic (various possible scenarios) and thus risk. This leads to multi-stage stochastic optimization problems which enter the class of large-scale systems.

Topics: INTERFACE PROGRAM (CIRM-INDUSTRY)