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This paper presents a novel neural network design that learns the heuristic for Large Neighborhood Search (LNS).
Using constraint programming and local search methods to solve vehicle routing problems
Paul Shaw · 1998
Earlier work this paper cites.
An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows
Stefan Ropke and David Pisinger · 2006
Earlier work this paper cites.
The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2008
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Earlier work this paper cites.
Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Cited alongside, same era.
An adaptive large neighborhood search for a vehicle routing problem with multiple routes
Nabila Azi, Michel Gendreau, and Jean-Yves Potvin · 2014
Cited alongside, same era.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Learning combinatorial optimization algorithms over graphs
Elias Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, and Le Song · 2017
Cited alongside, same era.
Reinforcement learning for solving the vehicle routing problem
Mohammadreza Nazari, Afshin Oroojlooy, Lawrence Snyder, and Martin Takác · 2018
Cited alongside, same era.
Attention, learn to solve routing problems!
Wouter Kool, Herke Van Hoof, and Max Welling · 2018
Later among the works it cites.
Learning to perform local rewriting for combinatorial optimization
Xinyun Chen and Yuandong Tian · 2019
Later among the works it cites.
Slack induction by string removals for vehicle routing problems
Jan Christiaens and Greet Vanden Berghe · 2020
Closest in time.
Learn to design the heuristics for vehicle routing problem
Lei Gao, Mingxiang Chen, Qichang Chen, Ganzhong Luo, Nuoyi Zhu, and Zhixin Liu · 2020
Closest in time.
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