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demo-tsp's Introduction

Traveling Salesman Problem Solver

The solver uses (Mu + Lambda) Evolutionary Algorithm from DEAP framework.

Installing dependencies:

pipenv install

Running tests:

pipenv run python -m pytest tspsolver

or

make test

Running demo

with random vertices:

pipenv run python demo.py

or with specified input file:

pipenv run python demo.py -f ./data/dataset.tsv

For more options refer to help page:

pipenv run python demo.py --help
usage: demo.py [-h] [--file FILE] [--vertices VERTICES] [--fast]
               [--generations GENERATIONS] [--verbose]

optional arguments:
  -h, --help            show this help message and exit
  --file FILE, -f FILE  input file path
  --vertices VERTICES, -vert VERTICES
                        number of vertices to be genarated if no input file is
                        used
  --fast                use smaller population to shorten computation
  --generations GENERATIONS, -gen GENERATIONS
                        number of generations
  --verbose, -v         increase output verbosity

demo-tsp's People

Contributors

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Watchers

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Forkers

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