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An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

Author

Listed:
  • Sonia Nasri

    (LARODEC Laboratory, Business Higher School of Tunis, Manouba University, Manouba 2010, Tunisia)

  • Hend Bouziri

    (LARODEC Laboratory, Higher School of Economics and Business, Tunis University, Tunis 1002, Tunisia)

  • Wassila Aggoune-Mtalaa

    (Luxembourg Institute of Science and Technology, L-4362 Esch-sur-Alzette, Luxembourg)

Abstract

This paper is addressing a new class of on-demand transport problems oriented toward customers. A mixed-integer linear programming model is proposed with new effective constraints that contribute to enhancing the quality of service. An exact resolution has been achieved, leading to lower bounds of the solution space of real cases of on-demand transport problems. To overcome the exponential computational time of the exact resolution, an evolutionary descent method is developed. It relies on a new operator for perturbing the search. The comparative results between the new method and the branch and bound show low gaps for almost all the instances tested with lower execution times. The results of the evolutionary descent method are also compared with the results of two different heuristics, namely a Tabu Search and an Evolutionary Local Search. Our evolutionary method demonstrates its effectiveness through competitive and promising results.

Suggested Citation

  • Sonia Nasri & Hend Bouziri & Wassila Aggoune-Mtalaa, 2022. "An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3020-:d:764263
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    References listed on IDEAS

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    1. Yves Molenbruch & Kris Braekers & An Caris, 2017. "Operational effects of service level variations for the dial-a-ride 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. 25(1), pages 71-90, March.
    2. Molenbruch, Yves & Braekers, Kris & Caris, An, 2017. "Benefits of horizontal cooperation in dial-a-ride services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 97-119.
    3. Ma, Tai-Yu & Rasulkhani, Saeid & Chow, Joseph Y.J. & Klein, Sylvain, 2019. "A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 417-442.
    4. R M Jorgensen & J Larsen & K B Bergvinsdottir, 2007. "Solving the Dial-a-Ride problem using genetic algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1321-1331, October.
    5. Bo Sun & Ming Wei & Chunfeng Yang & Zhihuo Xu & Han Wang, 2018. "Personalised and Coordinated Demand-Responsive Feeder Transit Service Design: A Genetic Algorithms Approach," Future Internet, MDPI, vol. 10(7), pages 1-14, July.
    6. Hyland, Michael & Mahmassani, Hani S., 2020. "Operational benefits and challenges of shared-ride automated mobility-on-demand services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 251-270.
    7. Julie Paquette & François Bellavance & Jean-François Cordeau & Gilbert Laporte, 2012. "Measuring quality of service in dial-a-ride operations: the case of a Canadian city," Transportation, Springer, vol. 39(3), pages 539-564, May.
    8. Cordeau, Jean-François & Laporte, Gilbert, 2003. "A tabu search heuristic for the static multi-vehicle dial-a-ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 579-594, July.
    9. Emanuel Melachrinoudis & Hokey Min, 2011. "A tabu search heuristic for solving the multi-depot, multi-vehicle, double request dial-a-ride problem faced by a healthcare organisation," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 10(2), pages 214-239.
    10. Detti, Paolo & Papalini, Francesco & Lara, Garazi Zabalo Manrique de, 2017. "A multi-depot dial-a-ride problem with heterogeneous vehicles and compatibility constraints in healthcare," Omega, Elsevier, vol. 70(C), pages 1-14.
    11. Braekers, Kris & Kovacs, Attila A., 2016. "A multi-period dial-a-ride problem with driver consistency," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 355-377.
    12. Fabien Lehuédé & Renaud Masson & Sophie N Parragh & Olivier Péton & Fabien Tricoire, 2014. "A multi-criteria large neighbourhood search for the transportation of disabled people," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(7), pages 983-1000, July.
    13. Paquette, Julie & Cordeau, Jean-François & Laporte, Gilbert & Pascoal, Marta M.B., 2013. "Combining multicriteria analysis and tabu search for dial-a-ride problems," Transportation Research Part B: Methodological, Elsevier, vol. 52(C), pages 1-16.
    14. Vij, Akshay & Ryan, Stacey & Sampson, Spring & Harris, Susan, 2020. "Consumer preferences for on-demand transport in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 823-839.
    15. Healy, Patrick & Moll, Robert, 1995. "A new extension of local search applied to the Dial-A-Ride Problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 83-104, May.
    16. Jean-François Cordeau & Gilbert Laporte, 2007. "The dial-a-ride problem: models and algorithms," Annals of Operations Research, Springer, vol. 153(1), pages 29-46, September.
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