VRP

The Vehicle Routing Problem (VRP) is one of the most challenging combinatorial optimization task. Defined more than 40 years ago, this problem consists in designing the optimal set of routes for fleet of vehicles in order to serve a given set of customers. The interest in VRP is motivated by its practical relevance as well as by its considerable difficulty. This web is dedicated to the study of VRP; we have compiled here a great deal of information about it for public access: technical reports, many different variants of the problem, alternative algorithms and techniques for solving it, some well-known instances of the problem, the best-so-far solutions for those instances, bibliography, related links… (Source: http://plato.asu.edu)


References in zbMATH (referenced in 987 articles )

Showing results 1 to 20 of 987.
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  1. Bianchessi, Nicola; Irnich, Stefan; Tilk, Christian: A branch-price-and-cut algorithm for the capacitated multiple vehicle traveling purchaser problem with unitary demand (2021)
  2. Heßler, Katrin; Irnich, Stefan: A branch-and-cut algorithm for the soft-clustered vehicle-routing problem (2021)
  3. Adamo, Tommaso; Ghiani, Gianpaolo; Guerriero, Emanuela: An enhanced lower bound for the time-dependent travelling salesman problem (2020)
  4. Agarwal, Yogesh Kumar; Venkateshan, Prahalad: A new model for the asymmetric vehicle routing problem with simultaneous pickup and deliveries (2020)
  5. Aldana-Galván, I.; Catana-Salazar, J. C.; Díaz-Báñez, J. M.; Duque, F.; Fabila-Monroy, R.; Heredia, M. A.; Ramírez-Vigueras, A.; Urrutia, J.: On optimal coverage of a tree with multiple robots (2020)
  6. Alvarez, Aldair; Cordeau, Jean-François; Jans, Raf; Munari, Pedro; Morabito, Reinaldo: Formulations, branch-and-cut and a hybrid heuristic algorithm for an inventory routing problem with perishable products (2020)
  7. Bogdanov, I. P.: Optimal scheduling of passenger air transportation in regional network (2020)
  8. Bortfeldt, Andreas; Yi, Junmin: The split delivery vehicle routing problem with three-dimensional loading constraints (2020)
  9. Brandão, José: A memory-based iterated local search algorithm for the multi-depot open vehicle routing problem (2020)
  10. Bruni, M. E.; Beraldi, P.; Khodaparasti, S.: A hybrid reactive GRASP heuristic for the risk-averse (k)-traveling repairman problem with profits (2020)
  11. Chitsaz, Masoud; Cordeau, Jean-François; Jans, Raf: A branch-and-cut algorithm for an assembly routing problem (2020)
  12. Christiansen, Marielle; Hellsten, Erik; Pisinger, David; Sacramento, David; Vilhelmsen, Charlotte: Liner shipping network design (2020)
  13. Eshragh, Ali; Esmaeilbeigi, Rasul; Middleton, Richard: An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach (2020)
  14. Eshtehadi, Reza; Demir, Emrah; Huang, Yuan: Solving the vehicle routing problem with multi-compartment vehicles for city logistics (2020)
  15. Fachini, Ramon Faganello; Armentano, Vinícius Amaral: Exact and heuristic dynamic programming algorithms for the traveling salesman problem with flexible time windows (2020)
  16. Factorovich, Pablo; Méndez-Díaz, Isabel; Zabala, Paula: Pickup and delivery problem with incompatibility constraints (2020)
  17. Fernandes, I. F. C.; Goldbarg, E. F. G.; Maia, S. M. D. M.; Goldbarg, M. C.: Empirical study of exact algorithms for the multi-objective spanning tree (2020)
  18. Fernstrøm, Finn; Steiner, Teresa Anna: A constant approximation algorithm for the uniform a priori capacitated vehicle routing problem with unit demands (2020)
  19. Florio, Alexandre M.; Hartl, Richard F.; Minner, Stefan: Optimal a priori tour and restocking policy for the single-vehicle routing problem with stochastic demands (2020)
  20. Fotio Tiotsop, Lohic; Servetti, Antonio; Masala, Enrico: An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision (2020)

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Further publications can be found at: http://neo.lcc.uma.es/vrp/bibliography-on-vrp/