The integration of discrete choice models in mixed integer linear problems provides a better understanding of the preferences of clients to policy makers while planning for their systems. In this research, we present a general framework that is able to combine both formulations by relying on simulation. The approach has been characterized for bene?t maximization and tested on a real case study. The complexity of the resulting model is currently being addressed with Lagrangian relaxation.
Michel Bierlaire, Bernard Gendron
Volkan Cevher, Grigorios Chrysos, Efstratios Panteleimon Skoulakis