u-keisuke/ga_reversi

This code simulates the optimization of evaluation function on Reversi game with GA algorithm.

GA-Reversi

This is a program to simulate the optimization of evaluation function on Reversi game (known as 'Othello' in Japan) with GA algorithm. (This program was coded for my class.)

Requirement

• numpy

Usage

Simulates GA on reversi

from GA import ga

parameter = [
    100,  # max generation
    64,   # num population
    8,    # num parents
    0.3,  # BLX alpha
    0.2,  # mutation probability
    "data_v2.json"  # The JSON file name to save
]

ga = GA(parameter)
ga.evolve()

Author

• Keisuke Ueda (The University of Tokyo)