Overview

Data Collection + Visualization

main.py

• Runs our simulations for data collection based off of a specified set of parameters.
• Calls a .jar file from the StacSettlers package
• Writes results to a .CSV

graph_create.py

• Takes the generated results .CSV and creates visualizations using MatPlotLib

GA

environment.py

• Creates and holds our population

mctsplayer.py

• Holds the genome and config of an MCTS player
• Contains basic ga methods for an individual:
  • mutate()
  • crossover()
  • calculate_fitness()
  • get_fitness()

ga_main.py

• Contains ga() and evolve_step() functions, the core of our genetic algorithm
• Runs ga() with specified ga parameters in main()

Configuration

mctsconfig.py

• Holds configurations
• Generates config files for StacSettlers simulations
• Tracks its win rate