Skip to content

A way to solve the Travelling Salesman problem using the genetic algorithm and heuristic Ant Colony Optimization.

Notifications You must be signed in to change notification settings

marcelomachado/ACOForTravellingSalesman

 
 

Repository files navigation

ACOForTravellingSalesman

A way to solve the Traveler Salesman problem using the genetic algorithm and heuristic Ant Colony Optimization.

Problem:

problem

Solution:

solution

Step by Step to Install:

First of all, have Python 3.6, pip and virtualenv installed.

  1. Create a virtualenv for the project by prescribing Python 3.6:
    virtualenv --python = python3.6 [environment name]

  2. Enter the virtualenv folder and activate it:
    source bin/activate

  3. Make the clone or download the project into the part of the newly created virtualenv, create a folder called "ACOForTravellingSalesman" and put the repository files in it.

  4. Enter the "app" folder and install pip dependencies:
    pip install requirements.txt -r.

  5. Still in the app folder run jupyter notebook

About

A way to solve the Travelling Salesman problem using the genetic algorithm and heuristic Ant Colony Optimization.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%