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New benchmark instances for the Capacitated Vehicle Routing Problem

Citations

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Cited by:

  1. Alexandre M. Florio & Richard F. Hartl & Stefan Minner, 2020. "New Exact Algorithm for the Vehicle Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 54(4), pages 1073-1090, July.
  2. Samarakkody Thakshila, 2025. "Simple Switch between Single Trip Vehicle Routing Problem and Multiple Trip Vehicle Routing Problem," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 16(1), pages 189-200.
  3. Panagiotis Kalatzantonakis & Angelo Sifaleras & Nikolaos Samaras, 2020. "Cooperative versus non-cooperative parallel variable neighborhood search strategies: a case study on the capacitated vehicle routing problem," Journal of Global Optimization, Springer, vol. 78(2), pages 327-348, October.
  4. Mikhail V. Batsyn & Ekaterina K. Batsyna & Ilya S. Bychkov & Panos M. Pardalos, 2021. "Vehicle assignment in site-dependent vehicle routing problems with split deliveries," Operational Research, Springer, vol. 21(1), pages 399-423, March.
  5. Janjevic, Milena & Merchán, Daniel & Winkenbach, Matthias, 2021. "Designing multi-tier, multi-service-level, and multi-modal last-mile distribution networks for omni-channel operations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1059-1077.
  6. Miao Yu & Viswanath Nagarajan & Siqian Shen, 2022. "Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 953-973, March.
  7. Frómeta Moya, Jorge Israel & Pérez Campos, Javier de Jesús, 2021. "Modelo heurístico híbrido para el ruteo vehicular y manejo de inventario en una entidad comercializadora de combustibles. || Hybrid heuristic model for inventory routing management in a fuel comercial entity," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 363-383, June.
  8. Jan Christiaens & Greet Vanden Berghe, 2020. "Slack Induction by String Removals for Vehicle Routing Problems," Transportation Science, INFORMS, vol. 54(2), pages 417-433, March.
  9. Toni Pacheco & Rafael Martinelli & Anand Subramanian & Túlio A. M. Toffolo & Thibaut Vidal, 2023. "Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem," Transportation Science, INFORMS, vol. 57(2), pages 463-481, March.
  10. Ines Sbai & Saoussen Krichen & Olfa Limam, 2022. "Two meta-heuristics for solving the capacitated vehicle routing problem: the case of the Tunisian Post Office," Operational Research, Springer, vol. 22(1), pages 507-549, March.
  11. Pessoa, Artur & Sadykov, Ruslan & Uchoa, Eduardo, 2018. "Enhanced Branch-Cut-and-Price algorithm for heterogeneous fleet vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 270(2), pages 530-543.
  12. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
  13. Florio, Alexandre M. & Gendreau, Michel & Hartl, Richard F. & Minner, Stefan & Vidal, Thibaut, 2023. "Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1081-1093.
  14. Wang, Yong & Wei, Zikai & Luo, Siyu & Zhou, Jingxin & Zhen, Lu, 2024. "Collaboration and resource sharing in the multidepot time-dependent vehicle routing problem with time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  15. TURKEŠ, Renata & SÖRENSEN, Kenneth, 2018. "Case studies and random instances for the problem of pre-positioning emergency supplies," Working Papers 2018004, University of Antwerp, Faculty of Business and Economics.
  16. Karina Thiebaut & Artur Pessoa, 2023. "Approximating the chance-constrained capacitated vehicle routing problem with robust optimization," 4OR, Springer, vol. 21(3), pages 513-531, September.
  17. Nguyen, Minh Anh & Dang, Giang Thi-Huong & Hà, Minh Hoàng & Pham, Minh-Trien, 2022. "The min-cost parallel drone scheduling vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 910-930.
  18. Alcaraz, Juan J. & Caballero-Arnaldos, Luis & Vales-Alonso, Javier, 2019. "Rich vehicle routing problem with last-mile outsourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 263-286.
  19. Hassana Abdullahi & Lorena Reyes-Rubiano & Djamila Ouelhadj & Javier Faulin & Angel A. Juan, 2025. "A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands," Journal of Heuristics, Springer, vol. 31(2), pages 1-39, June.
  20. Jaller, Miguel & Pahwa, Anmol, 2020. "Analytical Modeling Framework to Assess the Economic and Environmental Impacts of Residential Deliveries, and Evaluate Sustainable Last-Mile Strategies," Institute of Transportation Studies, Working Paper Series qt4143j4pr, Institute of Transportation Studies, UC Davis.
  21. Twan Dollevoet & Remy Spliet, 2023. "Preprocessing to Reduce Vehicle Capacity for Routing Problems," SN Operations Research Forum, Springer, vol. 4(2), pages 1-7, June.
  22. Erfan Ghorbani & Mahdi Alinaghian & Gevork. B. Gharehpetian & Sajad Mohammadi & Guido Perboli, 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification," Sustainability, MDPI, vol. 12(21), pages 1-71, October.
  23. Tang, Mengcheng & Zhuang, Weichao & Li, Bingbing & Liu, Haoji & Song, Ziyou & Yin, Guodong, 2023. "Energy-optimal routing for electric vehicles using deep reinforcement learning with transformer," Applied Energy, Elsevier, vol. 350(C).
  24. Wang, Feilong & Li, Hongqi & Xiong, Hanxi, 2025. "Truck–drone routing problem with stochastic demand," European Journal of Operational Research, Elsevier, vol. 322(3), pages 854-869.
  25. Cavaliere, Francesco & Fischetti, Matteo & Roberti, Roberto & Salvagnin, Domenico, 2026. "Models and algorithms for the Time Window Assignment Traveling Salesperson Problem with stochastic travel times," European Journal of Operational Research, Elsevier, vol. 329(1), pages 96-111.
  26. Sana Sahar Guia & Abdelkader Laouid & Mohammad Hammoudeh & Ahcène Bounceur & Mai Alfawair & Amna Eleyan, 2022. "Co-Simulation of Multiple Vehicle Routing Problem Models," Future Internet, MDPI, vol. 14(5), pages 1-16, April.
  27. Skålnes, Jørgen & Ben Ahmed, Mohamed & Hvattum, Lars Magnus & Stålhane, Magnus, 2024. "New benchmark instances for the inventory routing problem," European Journal of Operational Research, Elsevier, vol. 313(3), pages 992-1014.
  28. Letchford, Adam N. & Salazar-González, Juan-José, 2019. "The Capacitated Vehicle Routing Problem: Stronger bounds in pseudo-polynomial time," European Journal of Operational Research, Elsevier, vol. 272(1), pages 24-31.
  29. ARNOLD, Florian & SÖRENSEN, Kenneth, 2017. "A simple, deterministic, and efficient knowledge-driven heuristic for the vehicle routing problem," Working Papers 2017012, University of Antwerp, Faculty of Business and Economics.
  30. Máximo, Vinícius R. & Nascimento, Mariá C.V., 2021. "A hybrid adaptive iterated local search with diversification control to the capacitated vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1108-1119.
  31. Sandra Zajac, 2018. "On a two-phase solution approach for the bi-objective k-dissimilar vehicle routing problem," Journal of Heuristics, Springer, vol. 24(3), pages 515-550, June.
  32. Snoeck, André & Winkenbach, Matthias, 2020. "The value of physical distribution flexibility in serving dense and uncertain urban markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 151-177.
  33. Parada, Lucas & Legault, Robin & Côté, Jean-François & Gendreau, Michel, 2024. "A disaggregated integer L-shaped method for stochastic vehicle routing problems with monotonic recourse," European Journal of Operational Research, Elsevier, vol. 318(2), pages 520-533.
  34. Tang, Lianhua & Li, Yantong & Zhang, Shuai & Wang, Zheng & Coelho, Leandro C., 2025. "Mobile COVID-19 vaccination scheduling with capacity selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
  35. Queiroga, Eduardo & Frota, Yuri & Sadykov, Ruslan & Subramanian, Anand & Uchoa, Eduardo & Vidal, Thibaut, 2020. "On the exact solution of vehicle routing problems with backhauls," European Journal of Operational Research, Elsevier, vol. 287(1), pages 76-89.
  36. Janjevic, Milena & Winkenbach, Matthias & Merchán, Daniel, 2019. "Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 37-67.
  37. Cavaliere, Francesco & Accorsi, Luca & Laganà, Demetrio & Musmanno, Roberto & Vigo, Daniele, 2024. "An efficient heuristic for very large-scale vehicle routing problems with simultaneous pickup and delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
  38. Ning-Wen Yang & Maharani Rizki Larasati & I-Lin Wang & Makoto Yamashita, 2026. "Optimizing Cooperative Carrier-Vehicle Routing with Iterative Second-Order Cone Programming Method," Annals of Operations Research, Springer, vol. 359(3), pages 2737-2762, April.
  39. Zhao, Jingyi & Poon, Mark & Tan, Vincent Y.F. & Zhang, Zhenzhen, 2024. "A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 317(3), pages 921-935.
  40. Sandra Huber & Jean-François Cordeau & Martin Josef Geiger, 2020. "A matheuristic for the swap body vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 111-160, March.
  41. Florio, Alexandre M. & Feillet, Dominique & Hartl, Richard F., 2018. "The delivery problem: Optimizing hit rates in e-commerce deliveries," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 455-472.
  42. Tommaso Bianconcini & David Di Lorenzo & Alessandro Lori & Fabio Schoen & Leonardo Taccari, 2018. "Exploiting sets of independent moves in VRP," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(2), pages 93-120, June.
  43. Simen T. Vadseth & Henrik Andersson & Jean-François Cordeau & Magnus Stålhane, 2026. "Mixed integer programs to improve solutions of vehicle routing problems with intra-route constraints," Journal of Heuristics, Springer, vol. 32(2), pages 1-26, June.
  44. Alberto Santini & Michael Schneider & Thibaut Vidal & Daniele Vigo, 2023. "Decomposition Strategies for Vehicle Routing Heuristics," INFORMS Journal on Computing, INFORMS, vol. 35(3), pages 543-559, May.
  45. Martin Simensen & Geir Hasle & Magnus Stålhane, 2022. "Combining hybrid genetic search with ruin-and-recreate for solving the capacitated vehicle routing problem," Journal of Heuristics, Springer, vol. 28(5), pages 653-697, December.
  46. Salama, Mohamed R. & Srinivas, Sharan, 2022. "Collaborative truck multi-drone routing and scheduling problem: Package delivery with flexible launch and recovery sites," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
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