Hewitt, M., & Frejinger, E. (2020). Data-driven optimization model customization. European Journal of Operational Research, 287, 438-451.
KIM, J.-H. (2019). Studies on Total Logistics Management in Physical Distribution Process. East Asian Journal of Business Economics, 7(4), 15-26. doi:http://dx.doi.org/10.20498/eajbe.2019.7.4.15
Kolb, s. (2016). Learning Constraints and Optimization Criteria. Technical Report . The Workshops of the Thirtieth AAAI Conference on Artificial Intelligence (pp. 403-409). Phoenix, Arizona, USA: AAAI Press.
Kolb, S., Teso, S., Passerini, A., & De Raedt. (2018). Learning SMT(LRA) Constraints using SMT Solvers. In Proceedings of the twenty-seventh international joint conference on artificial intelligence (pp. 2333-2340). Stockholm Sweden: AAAI Press. doi:https://doi.org/10.24963/ijcai.2018/323
Lombardi, M., Milano, M., & Bartolini, A. (2017). Empirical decision model learning. Artificial Intelligence, 224, 343-367. doi:https://doi.org/10.1016/j.artint.2016.01.005
Pawlak, T., & Krawiec, K. (2017). Automatic synthesis of constraints from examples using mixed integer linear programming. European Journal of Operational Research, 261(3), 1141-1157. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S037722171730156X