for p in people_next:
if ((random.randint(1, 100) / decimal.Decimal(100)) <=
PROBABILITY_MUTATION):
p.mutate()
# next generation
result = evolution(people_next, world, generation + 1)
return result
if __name__ == '__main__':
print('---------- TEST ----------')
human1 = Human(10, 2, 0.01)
human1.generate()
human2 = Human(10, 2, 0.01)
human2.generate()
children12 = human1 * human2
print('human1 : ', human1.getGeneSequence(), end=' ')
print('human2 : ', human2.getGeneSequence())
print('children1: ', children12[0].getGeneSequence(), end=' ')
print('children2: ', children12[1].getGeneSequence())
print('---------- TEST ----------')
world = World()
print('\r\nA world has been created.')
people = []
# create people with random gene sequences
for i in range(MAX_GENES):
if __name__ == '__main__':
with open('./attractions.json', 'r') as f:
data_attractions = json.load(f)
disney_world = DisneyWorld(data_attractions["attractions"])
print('A world named Disney has been created.')
people = []
# create people with random gene sequences
for i in range(MAX_GENES):
human = Human(LENGTH_GENE, data_attractions["number"] * 2,
FREQUENCY_MUTATION)
human.generate()
people.append(human)
print(len(people), 'people are exploring the dream world today!')
result = evolution(people, disney_world,
1) # continue evolution up to MAX_GENERATION
print('\r\nEvolution has finished.\r\n\r\n---------- RESULT ----------')
# print result
for i in range(len(result)):
print(i, ' >>')
print('EVALUATION : ', result[i].getEvaluation())
print('GENESEQUENCE: ', result[i].getGeneSequence())
