Pacheco_ORBEL_2018 TRANSP-OR TALK Pacheco, Meritxell Sharif Azadeh, Shadi Bierlaire, Michel Gendron, Bernard Integrating advanced discrete choice models in mixed integer linear optimization 2018 ORBEL 32 Conference HEC Liège, Liège, Belgium February 02, 2018 The integration of choice models in mixed integer linear programming (MILP) is appealing to operators because it provides a better understanding of the preferences of customers while planning for their systems. However, the complexity of choice models leads to mathematical formulations that are highly nonlinear and non convex in the variables of interest, and therefore difficult to be included in MILP. In this research, we present a general framework that overcomes these limitations by relying on simulation to integrate advanced discrete choice models in MILP formulations.