Beyond LP and MILP Problems ⊖

Author:

Kallrath Josef

Publisher

Springer International Publishing

Reference60 articles.

1. Andrade, R., Lisser, A., Maculan, N., Plateau, G.: BB strategies for stochastic integer programming. In: Spielberg, K., Guignard, M. (eds.) Special Volume of Annals of OR: State-of-the-Art IP and MIP (Algorithms, Heuristics and Applications). Kluwer Academic Publishers, Dordrecht (2005)

2. Arellano-Garcia, H., Martini, W., Wendt, M., Li, P., Wozny, G.: Chance-constrained batch distillation process optimization under uncertainty. In: Grossmann, I.E., McDonald, C.M. (eds.) Proceedings of the 4th International Conference on Foundations of Computer-Aided Process Operations (FOCAPO), pp. 609–612. OMNI Press, Wisconsin (2003)

3. Arellano-Garcia, H., Martini, W., Wendt, M., Wozny, G.: Robust optimization process design optimization under uncertainty. In: Floudas, C.A., Agrawal, R. (eds.) Proceedings of the 6th International of Conference on Foundations of Computer-Aided Process Design (FOCAPD), pp. 505–508. CACHE Corp., Austin, TX (2004)

4. Audet, C., Brimberg, J., Hansen, P., Le Digabel, S., Mladenović, N.: Pooling problem: alternate formulations and solution methods. Manage. Sci. 50, 761–776 (2004)

5. Ben-Tal, A., Nemirovski, A.: Robust solutions of linear programming problems contaminated with uncertain data. Math. Program. 88, 411–424 (2000)

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