Solve-and-robustify

Author:

Policella Nicola,Cesta Amedeo,Oddi Angelo,Smith Stephen F.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Reference29 articles.

1. Aloulou, M. A., & Portmann, M. C. (2005). An efficient proactive-reactive scheduling approach to hedge against shop floor disturbances. In G. Kendall, E. Burke, S. Petrovic, & M. Gendreau (Eds.), Multidisciplinary scheduling: theory and applications (pp. 223–246). New York: Springer.

2. Artigues, C., Billaut, J. C., & Esswein, C. (2005). Maximization of solution flexibility for robust shop scheduling. European Journal of Operational Research, 165(2), 314–328.

3. Bartusch, M., Mohring, R. H., & Radermacher, F. J. (1988). Scheduling project networks with resource constraints and time windows. Annals of Operations Research, 16, 201–240.

4. Cesta, A., & Oddi, A. (2001). Algorithms for dynamic management of temporal constraints networks (Tech. rep.). ISTC-CNR, Institute for Cognitive Science and Technology, Italian National Research Council.

5. Cesta, A., Oddi, A., & Smith, S. F. (1998). Profile based algorithms to solve multiple capacitated metric scheduling problems. In Proceedings of the 4th international conference on artificial intelligence planning systems, AIPS-98 (pp. 214–223).

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