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A Hybrid Greedy Randomized Adaptive Search Heuristic To Solve The Dial-A-Ride Problem

Author

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  • FRANCESCA GUERRIERO

    (Dipartimento di Ingegneria Meccanica, Energetica e Gestionale, Università della Calabria, Via P. Bucci 41C, 87030 Rende (Cosenza), Italy)

  • MARIA ELENA BRUNI

    (Dipartimento di Ingegneria Meccanica, Energetica e Gestionale, Università della Calabria, Via P. Bucci 41C, 87030 Rende (Cosenza), Italy)

  • FRANCESCA GRECO

    (Dipartimento di Ingegneria Meccanica, Energetica e Gestionale, Università della Calabria, Via P. Bucci 41C, 87030 Rende (Cosenza), Italy)

Abstract

This paper presents a hybrid metaheuristic for solving the static dial-a-ride problem with heterogeneous vehicles and fixed costs. The hybridization combines a reactive greedy randomized adaptive search, used as outer scheme, with a tabu search heuristic in the local search phase. The algorithm is evaluated on well-known instances taken from the literature and on a set of randomly generated test problems, varying in the number of customers. Extensive computational results show the effectiveness of the hybrid approach in terms of trade-off between solution quality and computational time.

Suggested Citation

  • Francesca Guerriero & Maria Elena Bruni & Francesca Greco, 2013. "A Hybrid Greedy Randomized Adaptive Search Heuristic To Solve The Dial-A-Ride Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 30(01), pages 1-17.
    • Handle: RePEc:wsi:apjorx:v:30:y:2013:i:01:n:s0217595912500467
    DOI: 10.1142/S0217595912500467
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    Citations

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    Cited by:

    1. Ho, Sin C. & Szeto, W.Y. & Kuo, Yong-Hong & Leung, Janny M.Y. & Petering, Matthew & Tou, Terence W.H., 2018. "A survey of dial-a-ride problems: Literature review and recent developments," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 395-421.
    2. van Engelen, Matti & Cats, Oded & Post, Henk & Aardal, Karen, 2018. "Enhancing flexible transport services with demand-anticipatory insertion heuristics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 110-121.
    3. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    4. Yves Molenbruch & Kris Braekers & An Caris, 2017. "Typology and literature review for dial-a-ride problems," Annals of Operations Research, Springer, vol. 259(1), pages 295-325, December.
    5. Zhang, Zhenzhen & Liu, Mengyang & Lim, Andrew, 2015. "A memetic algorithm for the patient transportation problem," Omega, Elsevier, vol. 54(C), pages 60-71.
    6. Bruni, M.E. & Guerriero, F. & Beraldi, P., 2014. "Designing robust routes for demand-responsive transport systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 1-16.
    7. Gaul, Daniela & Klamroth, Kathrin & Stiglmayr, Michael, 2022. "Event-based MILP models for ridepooling applications," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1048-1063.
    8. Braekers, Kris & Caris, An & Janssens, Gerrit K., 2014. "Exact and meta-heuristic approach for a general heterogeneous dial-a-ride problem with multiple depots," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 166-186.

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