Scheduling satellite launch missions: an MILP approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10951-012-0304-y.pdf
Reference27 articles.
1. Aytug, H., Lawley, M., McKay, K., Mohan, S., & Uzsoy, R. (2005). Executing production schedules in the face of uncertainties: A review and some future directions. European Journal of Operational Research, 161, 86–110.
2. Baker, K. R., & Trietsch, D. (2007). Safe scheduling. INFORMS Tutorials in OR, pp. 79–101.
3. Baptiste, P. (1999). Polynomial time algorithms for minimizing the weighted number of late jobs on a single machine when processing times are equal. Journal of Scheduling, 2, 245–252.
4. Barbulescu, L., Howe, A., & Whitley, D. (2006). AFSCN scheduling: How the problem and solution have evolved. Mathematical and Computer Modelling, 43, 1023–1037.
5. Bianchessi, N., Cordeau, J.-F., Desrosiers, J., Laporte, G., & Raymond, V. (2007). A heuristic for the multi-satellite, multi-orbit and multi-user management of earth observation satellites. European Journal of Operational Research, 177, 750–762.
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