Food Distribution During Flood Using Q-Learning Algorithm

Authors

  • Mohammad Ashfan Student, Department of Computer Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidre, India
  • Albin Francis Student, Department of Computer Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidre, India
  • T. R. Deekshith Student, Department of Computer Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidre, India
  • Ameen Ahmed Student, Department of Computer Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidre, India
  • Sayeesh Professor, Department of Computer Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidre, India

Keywords:

Disaster, Emergency, Food, Flood, Q-learning, Rescue, Shortest path

Abstract

During Emergencies, when we want to distribute food to different localities it is not always possible to use airways. In such cases when we have no other option other than roadways, we can implement Q-Learning to reach the localities. In this algorithm, the localities act as nodes or vertices and the routes acts as edges. A satellite image is fed to the system of the flood affected area. Starting from the first node, it decides the action to be performed in each stage as it proceeds. Solving, a valid solution would need to represent a route where every location is included at least once and only once. If a route contains a single location more than once, or missed out a location completely then it wouldn't be valid.

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Published

26-07-2020

How to Cite

[1]
M. . Ashfan, A. . Francis, T. R. . Deekshith, A. . Ahmed, and Sayeesh, “Food Distribution During Flood Using Q-Learning Algorithm”, IJRESM, vol. 3, no. 7, pp. 271–274, Jul. 2020.

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