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Maximizing the value of an Earth observation satellite orbit

Author

Listed:
  • J-F Cordeau

    (HEC Montréal)

  • G Laporte

    (HEC Montréal)

Abstract

Earth observation satellites are platforms equipped with optical instruments that orbit the planet. During the course of an orbit, they take photographs of some regions of the Earth at the request of customers. Each photograph generates a profit but, due to the presence of several constraints, not all requests can be satisfied. The problem is to select a subset of requests of maximal profit for a given orbit. The problem is solved by means of a tabu search heuristic and computational results are reported. This work was initiated as part of a challenge organized by the French Operational Research Society. The algorithm won the second prize in the final round of the competition.

Suggested Citation

  • J-F Cordeau & G Laporte, 2005. "Maximizing the value of an Earth observation satellite orbit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 962-968, August.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:8:d:10.1057_palgrave.jors.2601926
    DOI: 10.1057/palgrave.jors.2601926
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    References listed on IDEAS

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    1. Michel Vasquez & Jin-Kao Hao, 2003. "Upper Bounds for the SPOT 5 Daily Photograph Scheduling Problem," Journal of Combinatorial Optimization, Springer, vol. 7(1), pages 87-103, March.
    2. Hall, Nicholas G. & Magazine, Michael J., 1994. "Maximizing the value of a space mission," European Journal of Operational Research, Elsevier, vol. 78(2), pages 224-241, October.
    3. William J. Wolfe & Stephen E. Sorensen, 2000. "Three Scheduling Algorithms Applied to the Earth Observing Systems Domain," Management Science, INFORMS, vol. 46(1), pages 148-166, January.
    4. J-F Cordeau & G Laporte & A Mercier, 2001. "A unified tabu search heuristic for vehicle routing problems with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 928-936, August.
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    Cited by:

    1. Karapetyan, Daniel & Mitrovic Minic, Snezana & Malladi, Krishna T. & Punnen, Abraham P., 2015. "Satellite downlink scheduling problem: A case study," Omega, Elsevier, vol. 53(C), pages 115-123.
    2. Lei He & Mathijs Weerdt & Neil Yorke-Smith, 2020. "Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 1051-1078, April.
    3. Jang, Jinbong & Choi, Jiwoong & Bae, Hee-Jin & Choi, In-Chan, 2013. "Image collection planning for KOrea Multi-Purpose SATellite-2," European Journal of Operational Research, Elsevier, vol. 230(1), pages 190-199.
    4. Philippe Monmousseau, 2021. "Scheduling of a Constellation of Satellites: Creating a Mixed-Integer Linear Model," Journal of Optimization Theory and Applications, Springer, vol. 191(2), pages 846-873, December.
    5. Tangpattanakul, Panwadee & Jozefowiez, Nicolas & Lopez, Pierre, 2015. "A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite," European Journal of Operational Research, Elsevier, vol. 245(2), pages 542-554.
    6. Glaydston Mattos Ribeiro & Miguel Fragoso Constantino & Luiz Antonio Nogueira Lorena, 2010. "Strong formulation for the spot 5 daily photograph scheduling problem," Journal of Combinatorial Optimization, Springer, vol. 20(4), pages 385-398, November.
    7. Alex Elkjær Vasegaard & Ilkyeong Moon & Peter Nielsen & Subrata Saha, 2023. "Determining the pricing strategy for different preference structures for the earth observation satellite scheduling problem through simulation and VIKOR," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 945-973, September.
    8. Bianchessi, Nicola & Cordeau, Jean-Francois & Desrosiers, Jacques & Laporte, Gilbert & Raymond, Vincent, 2007. "A heuristic for the multi-satellite, multi-orbit and multi-user management of Earth observation satellites," European Journal of Operational Research, Elsevier, vol. 177(2), pages 750-762, March.
    9. Chen, Xiaoyu & Reinelt, Gerhard & Dai, Guangming & Spitz, Andreas, 2019. "A mixed integer linear programming model for multi-satellite scheduling," European Journal of Operational Research, Elsevier, vol. 275(2), pages 694-707.

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