2020-06-29 10:52:52 +02:00
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from astar import Astar
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import numpy as np
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from DNA import DNA
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import random
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import copy
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def genetic(goals, A):
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recordDistance = 1000000000
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#count = 0
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generation = 0
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totalPopulaton = 10
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population = []
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matingPool = []
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mutationRate = 0.01
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for i in range(totalPopulaton):
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2020-06-29 11:09:03 +02:00
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population.append(DNA(goals)
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2020-06-29 10:52:52 +02:00
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for j in range(totalPopulaton):
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matingPool.clear()
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generation = generation + 1
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for i in range(totalPopulaton):
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population[i].calcFitness(A)
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if population[i].fitness < recordDistance:
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recordDistance = population[i].fitness
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best = copy.deepcopy(population[i])
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bestGeneration = generation
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for i in range(totalPopulaton):
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n = population[i].fitness * 100
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for j in range(int(n)):
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matingPool.append(population[i])
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for i in range(totalPopulaton):
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if matingPool:
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a = random.randint(0, len(matingPool) - 1)
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b = random.randint(0, len(matingPool) - 1)
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partnerA = matingPool[a]
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partnerB = matingPool[b]
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child = partnerA.crossover(partnerB)
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child.mutate(mutationRate)
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population[i] = child
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return best
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