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A novel two-phase decomposition-based algorithm to solve MINLP pipeline scheduling problem

Author

Listed:
  • Neda Beheshti Asl

    (Amirkabir University of Technology)

  • S. A. MirHassani

    (Amirkabir University of Technology)

  • S. Relvas

    (Universidade de Lisboa)

  • F. Hooshmand

    (Amirkabir University of Technology)

Abstract

Decomposition-based algorithms have been successfully applied in the literature to solve NP-hard optimization problems. This paper presents an efficient decomposition-based heuristic to solve a new variant of the pipeline scheduling problem in which, besides minimizing the interface and demand shortage, the flow-rate stability of batches is also taken into account. Flow-rate stability has a great impact on the reduction of the energy consumed by pumping, and to the best of our knowledge, it has not been addressed in the continuous-time models of the pipeline scheduling problem. Thus, from the modeling perspective, a new continuous-time mixed-integer nonlinear programming (MINLP) model is developed, and from the solution viewpoint, nonlinear terms are remedied by a decomposition technique. Computational results over real-world case studies and randomly generated instances confirm that the proposed method is able to generate near-optimal solutions within a short amount of time; further, they show that the proposed model can result in more stable flow-rates compared to existing models.

Suggested Citation

  • Neda Beheshti Asl & S. A. MirHassani & S. Relvas & F. Hooshmand, 2022. "A novel two-phase decomposition-based algorithm to solve MINLP pipeline scheduling problem," Operational Research, Springer, vol. 22(5), pages 4829-4863, November.
    • Handle: RePEc:spr:operea:v:22:y:2022:i:5:d:10.1007_s12351-022-00738-6
    DOI: 10.1007/s12351-022-00738-6
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    References listed on IDEAS

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