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A simulated annealing solution method for robust school bus routing

Author

Listed:
  • Saeid Samadi-Dana
  • Mohammad Mahdi Paydar
  • Javid Jouzdani

Abstract

The school bus routing problem (SBRP) deals with finding optimal bus routes for carrying students from bus stops to school. Most previous literature on SBRP are mainly focused on models in which it is tried to include as many real-life objectives and constraints as possible. However, they have not considered uncertainty in some parameters in real cases. As a modelling methodology, combined with computational tools, robust optimisation is employed to process optimisation problems in which the data are uncertain and belong to some uncertainty set. In this paper, a robust optimisation model for SBRP with uncertainty in times associated with moving from one bus stop to another is developed. In addition, a solution methodology based on simulated annealing algorithm, is presented for solving the proposed model. To evaluate the solution method and to illustrate its efficiency in real-life problems, a real-world case is studied.

Suggested Citation

  • Saeid Samadi-Dana & Mohammad Mahdi Paydar & Javid Jouzdani, 2017. "A simulated annealing solution method for robust school bus routing," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 28(3), pages 307-326.
  • Handle: RePEc:ids:ijores:v:28:y:2017:i:3:p:307-326
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    Citations

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    Cited by:

    1. Javid Jouzdani & Mohammad Fathian & Ahmad Makui & Mehdi Heydari, 2020. "Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study," Operational Research, Springer, vol. 20(3), pages 1811-1840, September.
    2. Merve Kayacı Çodur & Mustafa Yılmaz, 2020. "A time-dependent hierarchical Chinese postman problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 337-366, March.
    3. Wang, Zhongxiang & Haghani, Ali, 2020. "Column generation-based stochastic school bell time and bus scheduling optimization," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1087-1102.

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