This project implements SOM (self-organized map) clustering algorithm aimed to solve the TSP problem. The coordinates of the cities are read from a SQL database, and the problem is solved for the real cities!
To use the codes, use the following commands:
# Cloning the repo
git clone https://github.com/Moh-Joshaghani/The-Sales-Person-Problem-TSP-SOM-Self-Organizing-MAP.git
# Creating the environment
conda create --name tsp --file requirements.txt
To run, simply run the main.py file:
python main.py --help # prints the input arguments
# selects top 5 most populous cities from the database for the specified countries:
python main.py --countries iran germany spain kosovo nigeria china
# select the top 30 most populous cities in USA:
python main.py --countries "United States" --max_cities_per_country 30
# selecting the cities
python main.py --cities berlin madrid paris
animation.gif sketches the progress of the algorithm and how the clusters change through iterations.
