block6.py

#Imprimir indivíduo
def print_ind(individual):
    l = int("".join(str(i) for i in individual[:int(IND_SIZE / GENES)]), 2)  # gene quantidade de garrafas de leite
    s = int("".join(str(i) for i in individual[int(IND_SIZE / GENES):]), 2)  # gene quantidade de garrafas de suco
    g = 5*l + 4.5*s
    print('Individuo:' + str(individual))
    print('Quantidade de garrafas de leite: ' + str(l))
    print('Quantidade de garrafas de suco: ' + str(s))
    print('Lucro: ' + str(g))

#Plotar Gráfico
def plot_log(logbook):
    gen = logbook.select("gen")
    min = logbook.select("min")
    avg = logbook.select("avg")
    max = logbook.select("max")

    import matplotlib.pyplot as plt

    fig, ax1 = plt.subplots()
    line1 = ax1.plot(gen, min, "b-", label="Minimum Fitness")
    ax1.set_xlabel("Generation")
    ax1.set_ylabel("Fitness", color="b")
    for tl in ax1.get_yticklabels():
        tl.set_color("b")

    ax2 = ax1.twinx()
    line2 = ax2.plot(gen, avg, "g-", label="Average Fitness")
    for tl in ax2.get_yticklabels():
        tl.set_color("g")

    ax3 = ax1.twinx()
    line3 = ax3.plot(gen, max, "y-", label="Maximum Fitness")
    ax3.set_ylabel("Size")
    for tl in ax3.get_yticklabels():
        tl.set_color("y")

    lns = line1 + line2 + line3
    labs = [l.get_label() for l in lns]
    ax1.legend(lns, labs, loc="center right")

    plt.show()