380CT_Vox_Machina

Summary

This jupyter notebook document is a coursework submission for 380CT Coventry University. It was written by Nathan Brown, Harry Wills and Ammar Bharmal. Contents include meta-heuristics, namely Ant Colony Optimization and Tabu,with DFJ Formulation.

Requirements

• Gurobi for Python, install instructions available here: https://www.gurobi.com/gurobi-and-anaconda-for-windows/. The used liscence is Academic Free.
• tsputil, to install, go to Anaconda command line and type "pip install tsputil",and wait to download.

IMPORTANT: Note to lecturers.

Our group has noted an issue with displaying our notebook directly from GitHub; namely an issue with not displaying all of data output. However, if you download the notebook, all of the information is still there. So do not think it is incomplete.