def geneticAlgorithm(population, popSize, elitePercent, mutationRate,
generations):
eliteSize = int(round(elitePercent * popSize))
pop = initialPopulation(popSize, population)
print("Initial distance: " + str(1 / rankRoutes(pop)[0][1]))
for i in range(0, generations):
pop = nextGeneration(pop, eliteSize, mutationRate)
print("Final distance: " + str(1 / rankRoutes(pop)[0][1]))
bestRouteIndex = rankRoutes(pop)[0][0]
bestRoute = pop[bestRouteIndex]
return bestRoute
def LiveGeneticAlgorithm(population, popSize, elitePercent, mutationRate,
generations):
eliteSize = int(round(elitePercent * popSize))
pop = initialPopulation(popSize, population)
fig = setup(pop[0])
print("Initial distance: " + str(1 / rankRoutes(pop)[0][1]))
for i in range(0, generations):
pop = nextGeneration(pop, eliteSize, mutationRate)
draw(pop[rankRoutes(pop)[0][0]], fig,
f'Generations: {i+1}/{generations}')
bestRouteIndex = rankRoutes(pop)[0][0]
bestRoute = pop[bestRouteIndex]
return bestRoute
def geneticAlgorithmPlot(population, popSize, elitePercent, mutationRate,
generations):
eliteSize = int(round(elitePercent * popSize))
pop = initialPopulation(popSize, population)
progress = []
progress.append(1 / rankRoutes(pop)[0][1])
for i in range(0, generations):
pop = nextGeneration(pop, eliteSize, mutationRate)
progress.append(1 / rankRoutes(pop)[0][1])
plt.plot(progress)
plt.ylabel('Distance')
plt.xlabel('Generation')
plt.show()
print("Final distance: " + str(1 / rankRoutes(pop)[0][1]))
bestRouteIndex = rankRoutes(pop)[0][0]
bestRoute = pop[bestRouteIndex]
return bestRoute
def WebGA(popSize, elitePercent, mutationRate, generations):
population = countries = [['Algeria', 2.9999825, 28.0000272],
['Nigeria', 7.9999721, 9.6000359],
['Senegal', -14.4529612, 14.4750607],
['South Africa', 24.991639, -28.8166236],
['Americas', -99.5486812, 19.1982908],
['Argentina', -64.9672817, -34.9964963],
['Brazil', -53.2, -10.3333333],
['Canada', -107.9917071, 61.0666922],
['Chile', -71.3187697, -31.7613365],
['Dominican Republic', -70.3028026, 19.0974031],
['Ecuador', -79.3666965, -1.3397668],
['Guadalupe', -97.8279576, 29.6480061],
['Mexico', -99.1331785, 19.4326296],
['United States', -100.4458825, 39.7837304],
['Afghanistan', 66.2385139, 33.7680065],
['Bahrain', 50.5344606, 26.1551249],
['Egypt', 29.2675469, 26.2540493],
['Iran', 54.5643516, 32.6475314],
['Iraq', 44.1749775, 33.0955793],
['Jordan', 36.941628, 31.1667049],
['Kuwait', 47.4979476, 29.2733964],
['Lebanon', 35.843409, 33.8750629],
['Morocco', -7.3362482, 31.1728205],
['Oman', 57.0036901, 21.0000287],
['Pakistan', 71.247499, 30.3308401],
['Qatar', 51.2295295, 25.3336984],
['Saudi Arabia', 42.3528328, 25.6242618],
['Tunisia', 9.400138, 33.8439408],
['United Arab Emirates', 53.9994829, 24.0002488],
['Andorra', 1.5732033, 42.5407167],
['Armenia', 44.6736646, 40.7696272],
['Austria', 13.199959, 47.2000338],
['Azerbaijan', 47.7872508, 40.3936294],
['Belarus', 27.6971358, 53.4250605],
['Belgium', 4.6667145, 50.6402809],
['Bosnia', 17.5961467, 44.3053476],
['Croatia', 17.0118954, 45.5643442],
['Czech Republic', 15.4749544, 49.8167003],
['Denmark', 10.3333283, 55.670249],
['Estonia', 25.3319078, 58.7523778],
['Finland', 25.9209164, 63.2467777],
['France', 1.8883335, 46.603354],
['Georgia', 44.0287382, 41.6809707],
['Germany', 10.4234469, 51.0834196],
['Gibraltar', -5.3352772, 36.106747],
['Greece', 21.9877132, 38.9953683],
['Herzegovina', 17.5961467, 44.3053476],
['Hungary', 19.5060937, 47.1817585],
['Iceland', -18.1059013, 64.9841821],
['Ireland', -7.9794599, 52.865196],
['Israel', 34.8667654, 31.5313113],
['Italy', 12.674297, 42.6384261],
['Latvia', 24.7537645, 56.8406494],
['Lithuania', 23.7499997, 55.3500003],
['Luxembourg', 6.1296751, 49.8158683],
['Monaco', 7.4242474, 43.7384402],
['Netherlands', 5.7480821, 52.5001698],
['North Macedonia', 21.7168387, 41.6171214],
['Norway', 9.0999715, 60.5000209],
['Poland', 19.134422, 52.215933],
['Portugal', -7.8896263, 40.0332629],
['Romania', 24.6859225, 45.9852129],
['Russia', 97.7453061, 64.6863136],
['San Marino', 12.458306, 43.9458623],
['Serbia', 21.0765743, 44.0243228],
['Slovenia', 14.4808369, 45.8133113],
['Spain', -4.8380649, 39.3262345],
['Sweden', 14.5208584, 59.6749712],
['Switzerland', 8.2319736, 46.7985624],
['Ukraine', 31.2718321, 49.4871968],
['United Kingdom', -3.2765753, 54.7023545],
['Bhutan', 90.5119273, 27.549511],
['India', 78.6677428, 22.3511148],
['Nepal', 84.0917139, 28.1083929],
['Sri Lanka', 80.7137847, 7.5554942],
['Thailand', 100.83273, 14.8971921],
['Australia', 134.755, -24.7761086],
['Cambodia', 104.869423, 13.5066394],
['China', 104.999927, 35.000074],
['Hong Kong', 114.1628131, 22.2793278],
['Indonesia', 117.8902853, -2.4833826],
['Japan', 139.2394179, 36.5748441],
['Macau', 113.5514142, 22.1757605],
['Malaysia', 102.2656823, 4.5693754],
['New Zealand', 172.8344077, -41.5000831],
['Philippines', 122.7312101, 12.7503486],
['Republic of Korea', 127.6961188, 36.638392],
['Singapore', 103.8303918, 1.340863],
['Taiwan', 120.9820179, 23.9739374],
['Vietnam', 108.4265113, 13.2904027]]
eliteSize = int(round(elitePercent * popSize))
population = CreateCitiesList(population)
pop = initialPopulation(popSize, population)
# print("Initial distance: " + str(1 / rankRoutes(pop)[0][1]))
for i in range(0, generations):
pop = nextGeneration(pop, eliteSize, mutationRate)
# print("Final distance: " + str(1 / rankRoutes(pop)[0][1]))
bestRouteIndex = rankRoutes(pop)[0][0]
bestRoute = pop[bestRouteIndex]
return [[parts.lat, parts.lon] for parts in bestRoute]