evolutionary-algorithm

evolutionary algorithm implementation in python

evolutionary.py contains the algoritm implementation in three versions:

• evolutionary returns only the best fitness found and the individual for which it is reached
• evolutionary_for_plots returns an array containing points representing individuals with best fitness values in each iteration
• evolutionary_plot_all returns an array of all fitness values that were reached by the algorythm paired with the corresponding iterations

simulation.py has access to all files essential for solving minimization problems with the evolutionary algorithm as well as visualising the results in various ways

test_evolutionary.py contains simple unit tests for the algorithm

time_evolutionary.py contains a functions which can be used to measure the execution time of the algorithm

utils module contains filies with simple utility functions used throughout the project

3D best individual per iteration graph

generated using evolutionary_for_plots

2D fitness per iteration graph

generated using evolutionary_plot_all