def caso1():
"erros por passos, com populacao = 6"
name = "media_erros_passos_pop6"
X = [50, 100, 200, 500, 1000, 10000]
Y = []
# Y = [68.05, 67.32, 66.21, 63.15, 60.43, 47.77]
for x in X:
y = run_tests(steps=x, population_size=6)
Y.append(y)
gerar_grafico(
name=name,
label="erro",
title="erros por passos, com populacao = 6",
X=X,
Y=Y
)
times = avg_times()
reset_times()
gerar_arquivo_dados(name, Y, times)
def caso3():
"erros por crossover, com populacao = 40, passos = 100"
name = "avg_erro_cross_pop40_passos100"
X = [0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
Y = []
# Y = [1,2,3,4,5,6]
for x in X:
y = run_tests(steps=100, population_size=40, crossover_chance=x)
Y.append(y)
gerar_grafico(
name=name,
label="erro",
title="erros por crossover, com populacao = 40, passos = 100",
X=X,
Y=Y
)
times = avg_times()
reset_times()
gerar_arquivo_dados(name, Y, times)
def caso4():
"erros por mutacao, com populacao = 40, passos = 100"
name = "avg_erro_mut_pop40_passos100"
X = [0.1, 0.2, 0.3, 0.4, 0.5]
Y = []
# Y = [55.13, 56.16, 56.41, 57.36, 57.79]
for x in X:
y = run_tests(steps=100, population_size=40, mutation_chance=x)
Y.append(y)
gerar_grafico(
name=name,
label="erro",
title="erros por mutacao, com populacao = 40, passos = 100",
X=X,
Y=Y
)
times = avg_times()
reset_times()
gerar_arquivo_dados(name, Y, times)
def caso2():
"erros por populacao, com passos = 100"
name = "media_erros_pop_passos100"
X = [10, 20, 30, 40, 50, 60, 70]
Y = []
# Y = [63.73, 61.11, 58.04, 57.03, 55.08, 55.14, 55]
for x in X:
y = run_tests(steps=100, population_size=x, crossover_chance=0.8)
Y.append(y)
gerar_grafico(
name=name,
label="erro",
title="erros por populacao, com passos = 100",
X=X,
Y=Y
)
times = avg_times()
reset_times()
gerar_arquivo_dados(name, Y, times)