Simulated annealing implementation in python and C++ for the solution of the Traveling Salesman Problem (TSP)
See the post Simulated Annealing and vacation planning (solving the TSP with multiple constraints) for a more detailed explanation of what I have done in this repo. All the figures and the python code of the post are in the Simulated_annealing_notebook.ipynb jupyter notebook. The folder images contains all the figures and gifs included in the post. The folder generate_gifs contains scripts to generate gifs at different steps of the annealing schedule.
The C++ code is (obviously) in the folder cpp. The folder also includes a makefile. To be able to compile the code and then import the created package into python you need to install pybind11.
The folder datasets contains all the files used in the post.
And just because it is cool, here it is a nice gif:
