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capacitated-vehicle-routing-problem

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henry-yeh / DeepACO

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[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

reinforcement-learning neural-network deep-reinforcement-learning pytorch vehicle-routing-problem meta-heuristic ant-colony-optimization knapsack-problem combinatorial-optimization neural-combinatorial-optimization scheduling-problem traveling-salesman-problem graph-neural-networks routing-problem capacitated-vehicle-routing-problem bin-packing-problem
  • Updated Sep 29, 2024
  • Jupyter Notebook

henry-yeh / GLOP

Star 92

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem hierarchical-reinforcement-learning divide-and-conquer travelling-salesman-problem neural-combinatorial-optimization autoregressive-neural-networks graph-neural-networks non-autoregressive capacitated-vehicle-routing-problem prize-collecting-travelling-salesman-problem
  • Updated Jan 25, 2025
  • Python

ngchunlong279645 / Capacitated-Vehicle-Routing-Problem-CVRP-

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Optimizing vehicle routing for efficient delivery of goods to various customer locations while minimizing costs. This project implements algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) using Python and frameworks like Google OR-Tools and the nearest neighbor heuristic, with the latter being used for comparison purposes.

python nearest-neighbor vehicle-routing-problem vrp optimization-algorithms cvrp or-tools capacitated-vehicle-routing-problem
  • Updated May 13, 2024
  • Python

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