A Granular Local Search Matheuristic for a Heterogeneous Fleet Vehicle Routing Problem with Stochastic Travel Times
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s11067-021-09553-6.pdf
Reference56 articles.
1. Agra A, Christiansen M, Hvattum LM, Rodrigues F (2016) A MIP Based Local Search Heuristic for a Stochastic Maritime Inventory Routing Problem. In: Paias A, Ruthmair M, Voß S (eds) Proceedings of the 7th International Conference on Computational Logistics (ICCL 2016). Springer, Cham 18–34
2. Agra A, Requejo C, Rodrigues F (2018) An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem. Networks 72(1):5–24
3. Ando N, Taniguchi E (2006) Travel time reliability in vehicle routing and scheduling with time windows. Netw Spat Econ 6(3–4):293–311
4. Balas E, Simonetti N (2001) Linear time dynamic-programming algorithms for new classes of restricted TSPs: A computational study. INFORMS J Comput 13(1):56–75
5. Baldacci R, Battarra M, Vigo D (2008) Routing a heterogeneous fleet of vehicles. In: Golden BL, Raghavan S, Wasil EA (eds) The Vehicle Routing Problem: Latest Advances and New Challenges. Springer, New York, pp 3–27
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