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routing-problem

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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.

  • Updated Oct 6, 2024
  • Jupyter Notebook

This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.

  • Updated Apr 13, 2025
  • Python

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".

  • Updated Jan 24, 2024
  • Jupyter Notebook

This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.

  • Updated Apr 21, 2025
  • Python

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