Genetic Algorithm for real Chromosome

variables in the range (-10.10)

Minimum in point 0

The application was written in Python.

The environment for running the application is Python 3.7

wx

time

datetime

pandas

csv

matplotlib.pyplot

numpy

random

mpl_toolkits.mplot3d

operator

statistics

math

Shows the last individuals from iteration in 3D space. With a large number of generations, it is usually one individual.

Shows the change in value for the best individual for each iteration.

Shows the average adaptation of individuals after each iteration

Shows the value of the standard deviation between individuals from the population for subsequent iterations.

Shows the change in adaptation on the 3D graph for subsequent iterations.

Author of the code: [email protected]

The code is part of university project.

2020