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Efficient mixed-integer linear programming formulations for the satellite broadcast scheduling problem

Author

Listed:
  • S. Ananthu Krishna
  • B.S. Girish
  • Devendra Prakash Ghate

Abstract

Satellite broadcast scheduling problem (SBSP) is an important optimisation problem in satellite communication systems and is known to be NP-complete. The existing state-of-the-art solution methodologies for the SBSP include neural networks, evolutionary algorithms, and other heuristic approaches. This paper proposes two new mixed-integer linear programming (MILP) formulations for the problem. The performance of the proposed MILP formulations has been evaluated using benchmark problem instances and several other test instances on a commercial MILP solver. Computational results show that the proposed formulations outperform the existing approaches in terms of solution accuracy and computation time.

Suggested Citation

  • S. Ananthu Krishna & B.S. Girish & Devendra Prakash Ghate, 2024. "Efficient mixed-integer linear programming formulations for the satellite broadcast scheduling problem," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 51(2), pages 233-259.
    • Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:233-259
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