Genetic polygons

Made by Kishan Emens, Rix Lai, Jessica Sendejo, and Joshua Kuehn

Made for OwlHacks Winter 2017 at Foothill College

How does it work

This program uses the process of genetic algorithms to generate a regular polygon.
It involves a process of selection and mutation to improve the accuracy of each subsequent generation.
An animation of a single run can be viewed, or a timing run can be used to analyze the efficiency of various parameters.

3 vertices	4 vertices	6 vertices

How to use it

First install dependencies using pip and pipenv

pip install pipenv

Run the program using the following command

pipenv run python main.py

You can use the following arguments to modify the results of each run

usage: main.py [-h] [-v [VERTS]] [-p [POPULATION]]

optional arguments:
  -v [VERTS], --verts [VERTS]
                        How many vertices should each generation run
  -p [POPULATION], --population [POPULATION]
                        What population should each generation contain