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Food delivery routes post-disaster. Cost-constrained multiple travelling salesman problem.

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jnash10/Ration-delivery-post-disaster-IISC-Hackathon-

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Efficient-ration-delivery-in-post-disaster-scenario

Algorithm that combines concepts from TSP to generate an efficient solution to a cost constrained multiple travelling salesman problem. Developed for Pravega hackathon at IISc Bangalore.

Read PDF for comprehesive guide.(or check it out here: https://drive.google.com/file/d/1Y9pvj-UZODDZr3Sdo1hs6HYyp6qrmbbI/view?usp=sharing) Presentation in front of judges: https://www.youtube.com/watch?v=rS403JgDTmI (from 16:20 onwards)

python library requirements:

  pip install python-tsp
  pip install numpy
  pip install matplotlib

to run the code:

python recrusive_division.py

Since the TSP algorithm being used currently is an exact one(using dynamic programming), 25 cities/villages should be the upper limit for the program to run comfortably on most systems. (currently it generates random villages and a hub and solves for that)

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Food delivery routes post-disaster. Cost-constrained multiple travelling salesman problem.

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