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Metaheuristics approach for solving personalized crew rostering problem in public bus transit

Author

Listed:
  • Lin Xie

    (Leuphana University of Lüneburg)

  • Marius Merschformann

    (University of Paderborn)

  • Natalia Kliewer

    (Freie Universität Berlin)

  • Leena Suhl

    (University of Paderborn)

Abstract

The crew rostering problem in public bus transit aims at constructing personalized monthly schedules for all drivers. This problem is often formulated as a multi-objective optimization problem, since it considers the interests of both the management of bus companies and the drivers. Therefore, this paper attempts to solve the multi-objective crew rostering problem with the weighted sum of all objectives using ant colony optimization, simulated annealing, and tabu search methods. To the best of our knowledge, this is the first paper that attempts to solve the personalized crew rostering problem in public transit using different metaheuristics, especially the ant colony optimization. The developed algorithms are tested on numerical real-world instances, and the results are compared with ones solved by commercial solvers.

Suggested Citation

  • Lin Xie & Marius Merschformann & Natalia Kliewer & Leena Suhl, 2017. "Metaheuristics approach for solving personalized crew rostering problem in public bus transit," Journal of Heuristics, Springer, vol. 23(5), pages 321-347, October.
    • Handle: RePEc:spr:joheur:v:23:y:2017:i:5:d:10.1007_s10732-017-9348-7
    DOI: 10.1007/s10732-017-9348-7
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    References listed on IDEAS

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    8. Vítor Barbosa & Filipe Alvelos & Ana Respício, 2016. "Bus Driver Rostering by Column Generation Metaheuristics," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 225-231, Springer.
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    Cited by:

    1. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    2. Adibah Shuib & Faiq Izzuddin Kamarudin, 2019. "Solving shift scheduling problem with days-off preference for power station workers using binary integer goal programming model," Annals of Operations Research, Springer, vol. 272(1), pages 355-372, January.
    3. Ana Paias & Marta Mesquita & Margarida Moz & Margarida Pato, 2021. "A network flow-based algorithm for bus driver rerostering," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 543-576, June.
    4. Raka Jovanovic & Antonio P. Sanfilippo & Stefan Voß, 2022. "Fixed set search applied to the multi-objective minimum weighted vertex cover problem," Journal of Heuristics, Springer, vol. 28(4), pages 481-508, August.

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