Guide for the 380CT Assignment on TSP
The actual part you need to submit is the Metaheuristics section. The rest is meant to introduce you to the basics.
Lab 5

Ensure you have Jupyter, and load
Investigating TSP.ipynb
. Either launch
Anaconda
through AppsAnywhere, or if you are working on your machine then I recommend installing Anaconda.
 Either launch

Familiarise yourself with Jupyter functionaility. Consider taking LinkedIn Learning courses (free through the university) or any suitable alternatives. Here is a recommended set (e.g. each member of the group takes one):

Study
Investigating TSP.ipynb
. Can you improve any of the functions implemented in
Investigating TSP.ipynb
to make them mor efficient?  See how large you can make $n$ while testing
exhaustive_search()
.  Check that
greedy_nearest_neighbours()
is correct. If not then fix it!
 Can you improve any of the functions implemented in

Read the Wikipedia article on TSP. Pay attention to th Computing a solution section, and especially to the
2opt
and3opt
techniques for defininf neighbourhoods. 
Experiment with generating your own graph families. For example:
 Euclidean graphs: generate points using (x,y) coordinates, then generate the adjacency matrix by calculating all the required distances. Recall that the distance between two points (x_{1},y_{1}) and (x_{2},y_{2}) is sqrt[(x_{1}x_{2})^{2}+(y_{1}y_{2})^{2}].
 Graphs with obvious shortest cycle: think of a graph where all the distances are 2 except for the edges on a predefined cycle, where the distance is 1. Such a graph would be useful for testing/debugging the nearest neighbours greedy search.
Graph ideas...
Whiteboard from a tutorial session:
Bibliography
 Applegate, DL, Bixby, RE, Chvátal, V, Cook, WJ, 2007, The Traveling Salesman Problem: A Computational Study, Princeton University Press, Princeton.
 Cook, WJ 2012, In Pursuit of the Traveling Salesman: Mathematics at the Limit of Computation, Princeton University Press, Princeton.
 Glover, F, & Kochenberger, GA (eds) 2002, Handbook of Metaheuristics, Kluwer Academic Publishers, Secaucus.
 Gutin, G, & Punnen, AP (eds) 2002, The Traveling Salesman Problem and Its Variations, Springer, New York, NY.
 Pintea, C.M., 2014. Advances in Bioinspired Computing for Combinatorial Optimization Problems. 1st ed. 2014.
 Steven, SS 2008, The Algorithm Design Manual, Springer, England.
 You may also find its companion website useful.
 Talbi, E.G., 2009. Metaheuristics from design to implementation, Hoboken, NJ: John Wiley & Sons.