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https://github.com/rshipp/tsp

Defund the Police.
https://github.com/rshipp/tsp

algorithm drop-ice graph python traveling-salesman traveling-salesperson travelling-salesman-problem tsp tsp-solver

Last synced: 7 days ago
JSON representation

Defund the Police.

Host: GitHub
URL: https://github.com/rshipp/tsp
Owner: rshipp
Created: 2015-01-26T02:01:34.000Z (almost 10 years ago)
Default Branch: main
Last Pushed: 2020-06-14T23:56:54.000Z (over 4 years ago)
Last Synced: 2024-05-01T19:53:10.351Z (7 months ago)
Topics: algorithm, drop-ice, graph, python, traveling-salesman, traveling-salesperson, travelling-salesman-problem, tsp, tsp-solver
Language: Python
Homepage: https://blacklivesmatters.carrd.co/#donate
Size: 73.2 KB
Stars: 19
Watchers: 3
Forks: 13
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml

Awesome Lists containing this project

README

        # Traveling Salesman Problem

[![Drop ICE](drop.png)](https://twitter.com/githubbers/status/1182017616740663296)

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](http://www.wolframalpha.com).

### Optimal

[![optimal graph](optimal.png "x-axis is input points; y-axis is seconds")](http://www.wolframalpha.com/input/?i=plot+%286%2C+0.02%29%2C+%288%2C+1.0%29%2C+%289%2C+9.9%29%2C+%2810%2C+184.1%29)

### Nearest neighbor

[![nearest neighbor graph](nn.png "x-axis is input points; y-axis is seconds")](http://www.wolframalpha.com/input/?i=plot%20%289%2C%200%29%2C%20%281500%2C%205%29%2C%20%283000%2C%2019%29%2C%20%286000%2C%20149%29)

## Data