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Solving the Earth Observing Satellite Constellation Scheduling Problem by Branch-and-Price

In: Operations Research Proceedings 2010

Author

Listed:
  • Pei Wang

    (University of Heidelberg)

  • Gerhard Reinelt

    (University of Heidelberg)

Abstract

An important economical issue for a space agency like China Center for Resource Satellite Data and Applications (CRESDA) is the optimization of the schedule of its earth observing satellites. The management of the constellation consists of selecting a feasible subset of requests and scheduling the observation activities of the satellites to acquire images as well as scheduling the download activities to transmit the images back to a set of ground stations, with the objective to maximize the summed rewards of the targets observed and image-downloaded. These selected and scheduled sequence of observations and downloads must comply with visibility time-windows, observing and downloading durations, satellite memory capacity, and minimum transition times between observations and downloads.

Suggested Citation

  • Pei Wang & Gerhard Reinelt, 2011. "Solving the Earth Observing Satellite Constellation Scheduling Problem by Branch-and-Price," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 491-496, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-20009-0_78
    DOI: 10.1007/978-3-642-20009-0_78
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    Cited by:

    1. Shai Krigman & Tal Grinshpoun & Lihi Dery, 2024. "Scheduling of Earth observing satellites using distributed constraint optimization," Journal of Scheduling, Springer, vol. 27(5), pages 507-524, October.

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