## Pre-Requisites - Ensure that Python 3 is installed. - Install the required dependencies: `pip install matplotlib pandas`. ## `salesman.py` - Run `python3 salesman.py --help` for usage information: ``` usage: salesman.py [-h] -i INPUT_FILE [-s SIZE] [-g NUM_GENERATIONS] [-a GIVE_UP_AFTER] [-p SELECTION_PROPORTION] [-c CROSSOVER_RATE] [-m MUTATION_RATE] [-o OUTPUT_FILE] [--quiet] [--grid-search] Program to solve the travelling salesman problem for a given TSP file using a genetic algorithm. options: -h, --help show this help message and exit -i, --input-file INPUT_FILE Path to input file in TSP format -s, --size SIZE Initial population size -g, --num-generations NUM_GENERATIONS Number of generations -a, --give-up-after GIVE_UP_AFTER Number of generations to give up after if best solution has remained unchanged -p, --selection-proportion SELECTION_PROPORTION The proportion of the population to be selected (survive) on each generation -c, --crossover-rate CROSSOVER_RATE Probability of a selected pair of solutions to sexually reproduce -m, --mutation-rate MUTATION_RATE Probability of a selected offspring to undergo mutation -o, --output-file OUTPUT_FILE File to write TSV results to --quiet Don't print output --grid-search Perform a grid search for optimal population size, crossover rate, & mutation rate ``` Example usages include: - `python3 salesman.py -i berlin52.tsp` - `python3 salesman.py -i berlin52.tsp --grid-search` - `python3 salesman.py -i ../materials/berlin52.tsp --size 300 --crossover-rate 0.8 --mutation-rate 0.1` ## `plots.py` - After running `salesman.py` and getting an `output.tsv` file, the results can be plotted using `python3 plots.py output.tsv`. ## `map.py` - I never got around to adding command-line flags, so to plot a tour using `map.py`, edit the source code to replace the path to the TSP file and the list representing the tour to the desired values. - Then, `python3 map.py`.