lucien/ultra-mastermind-implementation
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Saataa andagii !

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Lukian 2024-12-17 10:55:50 +01:00
parent d39467f070
commit 10bfdd3fde
4 changed files with 87 additions and 37 deletions
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41
tests.py
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@ -5,6 +5,7 @@ import matplotlib.pyplot as plt
# project libs importations
import lib.ultra_mastermind_obj as libobj
import lib.ultra_mastermind_imp as libimp
import lib.ultra_mastermind_pp_imp as libppimp
# Variation du nombre de générations
PM = "Hello, world!"
@ -13,20 +14,46 @@ N = 400
TS = 0.5
TM = 0.25
ALPHA = 0.5
FITNESS_METHOD = 1
FITNESS_METHOD = 3
fitness_ng = []
all_ng = []
for i in range(1, 21):
NG = i * 100
for i in range(1, 11):
NG = i * 200
all_ng.append(NG)
pop = libimp.new_population(PM, NG, N, TS, TM, ALPHA, FITNESS_METHOD)
libimp.run(pop)
fitness_ng.append(libimp.get_fitness(pop, libimp.get_best(pop)))
pop = libppimp.new_population(PM, NG, N, TS, TM, ALPHA, FITNESS_METHOD)
libppimp.run(pop)
fitness_ng.append(libppimp.get_fitness(pop, libppimp.get_best(pop)))
plt.plot(all_ng, fitness_ng)
plt.title("Fitness du meilleur individu en fonciton du nombre de générations")
plt.title("Fitness du meilleur individu en fonction du nombre de générations")
plt.xlabel("Nombre de générations")
plt.ylabel("Fitness du meilleur individu")
plt.show()
# Variation du nombre de générations
PM = "Hello, world!"
NG = 500
# N = 400
TS = 0.5
TM = 0.25
ALPHA = 0.5
FITNESS_METHOD = 3
fitness_n = []
all_n = []
for i in range(1, 11):
N = i * 100
all_n.append(N)
pop = libppimp.new_population(PM, NG, N, TS, TM, ALPHA, FITNESS_METHOD)
libppimp.run(pop)
fitness_n.append(libppimp.get_fitness(pop, libppimp.get_best(pop)))
plt.plot(all_n, fitness_n)
plt.title("Fitness du meilleur individu en fonction de la taille de population")
plt.xlabel("Taille de population")
plt.ylabel("Fitness du meilleur individu")
plt.show()