def exit():
root.destroy()
MST.GeneticAlgorithm(15, 500, obstacle)
#animate the genetic algorithm learning by graphing the best genome generation by generation
#no obstacle implementation (can add obstacles in the animateMST)
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import MST
NUMBER_OF_GENERATIONS = 500
NUMBER_OF_GENOMES = 20
intervalnumber = 0
MST.GeneticAlgorithm(NUMBER_OF_GENOMES, NUMBER_OF_GENERATIONS)
points = MST.getPoints()
mst = MST.returnMST()
listofgenomes = MST.returnGenomes()
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1)
ax1.autoscale(False)
ax1.set(xlim=(0, 110), ylim=(0, 110))
def animate(i):
ax1.clear()
global intervalnumber
if (intervalnumber < 10):
for x, y in points:
ax1.scatter(x, y, c="black")
elif (intervalnumber < 15):
for x, y in points:
ax1.scatter(x, y, c="black")
for b in mst.path:
