Cvrplib

CVRPLIB: Capacitated Vehicle Routing Problem Library

Keywords for this software

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Accorsi, Luca; Lodi, Andrea; Vigo, Daniele: Guidelines for the computational testing of machine learning approaches to vehicle routing problems (2022)
  2. Iori, Manuel; de Lima, Vinícius Loti; Martello, Silvano; Monaci, Michele: 2DPackLib: a two-dimensional cutting and packing library (2022)
  3. Lehuédé, Fabien; Péton, Olivier; Tricoire, Fabien: A lexicographic minimax approach to the vehicle routing problem with route balancing (2020)
  4. Boschetti, Marco Antonio; Maniezzo, Vittorio; Strappaveccia, Francesco: Route relaxations on GPU for vehicle routing problems (2017)
  5. Bouzid, Mouaouia Cherif; Aït Haddadene, Hacene; Salhi, Said: An integration of Lagrangian split and VNS: the case of the capacitated vehicle routing problem (2017)
  6. Domínguez-Martín, Bencomo; Rodríguez-Martín, Inmaculada; Salazar-González, Juan-José: An exact algorithm for a vehicle-and-driver scheduling problem (2017)