def annealing_general(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour, startTimeTwoRetour,
frequencyOne, frequencyTwo, trainTime, numTrainTour,
numTrainRetour):
T = [100, 1000, 10000]
k = [0.7, 0.8, 0.9, 0.99]
type = 1
for j in T:
plt.figure()
for l in k:
x, y = en.run(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, j, numTrainTour, numTrainRetour, l, type)
plt.plot(x, y, label="k=" + str(l))
plt.legend()
plt.title("Annealing, T=" + str(j) + ", type=1")
plt.xlabel("Seconds")
plt.ylabel("Fitness")
plt.savefig("Annealing.T=" + str(j) + ", type=1.pdf")
# plt.show()
T = [100, 1000, 10000]
k = [0.001, 0.01, 0.1]
type = 2
for j in T:
plt.figure()
for l in k:
x, y = en.run(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, j, numTrainTour, numTrainRetour, l, type)
plt.plot(x, y, label="k=" + str(l))
plt.legend()
plt.title("Annealing, T=" + str(j) + ", type=2")
plt.xlabel("Seconds")
plt.ylabel("Fitness")
plt.savefig("Annealing.T=" + str(j) + ", type=2.pdf")
def plot_k_alpha2_analysis(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, numTrainTour, numTrainRetour):
T = 50000
k = [0.001, 0.01, 0.05, 0.1, 0.2, 0.4]
type = 2
plt.figure()
for i in k:
xi = 0
for j in range(5):
x, y = en.run(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, T, numTrainTour, numTrainRetour, i, type)
xi += y
xi /= 5
plt.plot(x, y, label="k=" + str(i))
plt.legend()
plt.title("Annealing, T=5000, Type=2")
plt.xlabel("Seconds")
plt.ylabel("Fitness")
plt.savefig("k2.pdf")
def plot_T_alpha2_analysis(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, numTrainTour, numTrainRetour):
T = [100, 500, 1000, 5000, 10000, 50000]
k = 0.1
type = 2
plt.figure()
for i in T:
xi = 0
for j in range(5):
x, y = en.run(runTime, stations, timeTotal, startTimeOneTour,
startTimeTwoTour, startTimeOneRetour,
startTimeTwoRetour, frequencyOne, frequencyTwo,
trainTime, i, numTrainTour, numTrainRetour, k, type)
xi += y
xi /= 5
plt.plot(x, y, label="T=" + str(i))
plt.legend()
plt.title("Annealing, k=0.1, Type=2")
plt.xlabel("Seconds")
plt.ylabel("Fitness")
plt.savefig("T2.pdf")