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This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP).
A parallel insertion heuristic for vehicle routing with side constraints
Mwp Martin Savelsbergh · 1990
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Using constraint programming and local search methods to solve vehicle routing problems
Paul Shaw · 1998
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour · 1999
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Tabu search heuristics for the vehicle routing problem
Jean-François Cordeau and Gilbert Laporte · 2005
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An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows
Stefan Ropke and David Pisinger · 2006
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An efficient variable neighborhood search heuristic for very large scale vehicle routing problems
Jari Kytöjoki, Teemu Nuortio, Olli Bräysy, and Michel Gendreau · 2007
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A library of local search heuristics for the vehicle routing problem
Chris Groër, Bruce L. Golden, and Edward A. Wasil · 2010
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An adaptive large neighborhood search heuristic for two-echelon vehicle routing problems arising in city logistics
Vera C. Hemmelmayr, Jean-François Cordeau, and Teodor Gabriel Crainic · 2012
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Combining nearest neighbor search with tabu search for large-scale vehicle routing problem
Lingling Du and Ruhan He · 2012
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Yoshua Bengio, Andrea Lodi, and Antoine Prouvost · 2018
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Reinforcement learning for solving the vehicle routing problem
MohammadReza Nazari, Afshin Oroojlooy, Lawrence V. Snyder, and Martin Takác · 2018
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Attention, learn to solve routing problems!
Wouter Kool, Herke van Hoof, and Max Welling · 2018
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Xinyun Chen and Yuandong Tian · 2018
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Wouter Kool, Herke van Hoof, and Max Welling · 2019
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