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- Arxiv/Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer 2021 2110.02544
- Arxiv/Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem 2020 1911.09539
- Arxiv/NeuroLKH — Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem 2021 2110.07983
- Arxiv/On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking 2020 2005.05066
- Arxiv/Online Food Delivery to Minimize Maximum Flow Time 2021 2110.15772
- Arxiv/POMO — Policy Optimization with Multiple Optima for Reinforcement Learning 2020 2010.16011
- Arxiv/Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times 2019 1902.03930
- Arxiv/RP-DQN — An application of Q-Learning to Vehicle Routing Problems 2021 2104.12226
- Arxiv/Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing 2020 2010.12001
- Arxiv/Route Optimization via Environment-Aware Deep Network and Reinforcement Learning 2021 2111.09124
- Arxiv/Solve routing problems with a residual edge-graph attention neural network 2021 2105.02730
- Arxiv/Solving Area Coverage Problem with UAVs — A Vehicle Routing with Time Windows Variation 2020 2003.07124
- Arxiv/The fragility-constrained vehicle routing problem with time windows 2021 2109.01883
- Arxiv/The vehicle routing problem with drones and drone speed selection 2021 2111.13050
- Arxiv/Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP 2021 2102.00567
- Arxiv/Vehicle Routing Problem with Time Windows — A Deterministic Annealing approach 2016 1604.03590
- Arxiv/dMFEA-II — An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems 2020 2004.06559
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