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optimisation

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flatland-rl

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

  • Updated Nov 10, 2025
  • Jupyter Notebook

This project aims to solve the Travelling Salesman Problem (TSP) using two heuristic approaches: Genetic Algorithm (GA) and Simulated Annealing (SA). The ATT48 dataset is used as a benchmark to compare their efficiency in finding the shortest possible route while visiting all cities exactly once.

  • Updated Nov 10, 2025
  • Python

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