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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

Kamii114 / Travelling-Salseman-Problem_NearestNeighborSearch

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This repository explores two optimization algorithms: the Traveling Salesman Problem (TSP) and Nearest Neighbor Search (NNS). It features Jupyter notebooks implementing brute-force solutions to both problems, utilizing Euclidean distance calculations and path visualizations. Ideal for learning about algorithm efficiency and optimization techniques.

pathfinding nearest-neighbor-search optimization-algorithms computational-complexity traveling-salesman-problem routing-problem
  • Updated Oct 6, 2024
  • Jupyter Notebook

NM001007 / Vehicle_Routing_Problem_Evolutionay_Tree

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This an implementation of the paper proposed by Niu et al. in 2021, entitled "An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand".

learning machine-learning routing evolutionary-algorithms vehicle-routing-problem vrp datasets decision-trees decision-tree routing-algorithm solomon vrptw mvrp evolutionary-tree routing-problem vehicle-routing-algorithm
  • Updated Jan 24, 2024
  • Jupyter Notebook

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