rshipp/tsp

Defund the Police.

Traveling Salesman Problem

Two implementations of solutions to the Traveling Salesman Problem in Python 3.

The first solution brute forces all permutations and is guaranteed to find the optimal solution for visiting all points.

The second solution is "nearest neighbor", which is much faster, but is not guaranteed to find the optimal solution. In some edge cases, it finds very poor solutions.

My implementations of these algorithms display about O(n!) and 1/4 O(n^2) time, respectively.

Usage

If you want to run the comparisons yourself, just go

./run.sh

Or, if you want to run individual tests, just use ./optimaltsp.py FILENAME or ./nearestneighbor.py FILENAME.

Graphs

Here are some quick runtime graphs, courtesy of WolframAlpha.

Optimal

Nearest neighbor

Data

tsp's Issues

ImportError: No module named tspinput

ImportError Traceback (most recent call last)
in ()
43 import timeit
44
---> 45 import tspinput
46
47 RUNS = 3

ImportError: No module named tspinput