def crossover_roulette(self,parent1,parent2,previous_layer,upper_layer): # cruzamiento CROSSOVER_POINT = random.randint(1,Chromosome.L_CHROMOSOME - 1) if parent1 < self.n_individuals: # se checa de que poblacion viene el parent escogido ya que la ruleta regresa un numero de 0 a 2*n_individuals - 1 newChromosome1=self.population[parent1].chromosome[0:CROSSOVER_POINT] elif parent1 >= self.n_individuals: newChromosome1=previous_layer.population[parent1%previous_layer.n_individuals].chromosome[0:CROSSOVER_POINT] if parent2 < self.n_individuals: newChromosome1 = np.append(newChromosome1, self.population[parent2].chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0) newChromosome2=self.population[parent2].chromosome[0:CROSSOVER_POINT] elif parent2 >= self.n_individuals: parent2 %= previous_layer.n_individuals newChromosome1 = np.append(newChromosome1, previous_layer.population[parent2].chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0) newChromosome2=previous_layer.population[parent2].chromosome[0:CROSSOVER_POINT] if parent1 < self.n_individuals: newChromosome2 = np.append(newChromosome2, self.population[parent1].chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0) elif parent1 >= self.n_individuals: parent1 %= previous_layer.n_individuals newChromosome2 = np.append(newChromosome2, previous_layer.population[parent1].chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0) newAge = self.population[parent1].age if self.population[parent1].age >= self.population[parent2].age else self.population[parent2].age descendant1 = Chromosome.constructor_crossover(newAge,newChromosome1) descendant2 = Chromosome.constructor_crossover(newAge,newChromosome2) descendant1.incrementAge() descendant2.incrementAge() return descendant1,descendant2
def reproduce(self): parents = self.tourney() newChromosome1,newChromosome2 = self.crossover(parents) newAge = parents[0].age if parents[0].age >= parents[1].age else parents[1].age descendant1 = Chromosome.constructor_crossover(newAge+1,newChromosome1) descendant2 = Chromosome.constructor_crossover(newAge+1,newChromosome2) return descendant1,descendant2
def reproduce(self):
parents = self.tourney()
newChromosome1, newChromosome2 = self.crossover(parents)
newAge = parents[
0].age if parents[0].age >= parents[1].age else parents[1].age
descendant1 = Chromosome.constructor_crossover(newAge + 1,
newChromosome1)
descendant2 = Chromosome.constructor_crossover(newAge + 1,
newChromosome2)
return descendant1, descendant2
def crossover_roulette(self, parent1, parent2, previous_layer,
upper_layer): # cruzamiento
CROSSOVER_POINT = random.randint(1, Chromosome.L_CHROMOSOME - 1)
if parent1 < self.n_individuals: # se checa de que poblacion viene el parent escogido ya que la ruleta regresa un numero de 0 a 2*n_individuals - 1
newChromosome1 = self.population[parent1].chromosome[
0:CROSSOVER_POINT]
elif parent1 >= self.n_individuals:
newChromosome1 = previous_layer.population[
parent1 %
previous_layer.n_individuals].chromosome[0:CROSSOVER_POINT]
if parent2 < self.n_individuals:
newChromosome1 = np.append(
newChromosome1, self.population[parent2].
chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0)
newChromosome2 = self.population[parent2].chromosome[
0:CROSSOVER_POINT]
elif parent2 >= self.n_individuals:
parent2 %= previous_layer.n_individuals
newChromosome1 = np.append(
newChromosome1, previous_layer.population[parent2].
chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0)
newChromosome2 = previous_layer.population[parent2].chromosome[
0:CROSSOVER_POINT]
if parent1 < self.n_individuals:
newChromosome2 = np.append(
newChromosome2, self.population[parent1].
chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0)
elif parent1 >= self.n_individuals:
parent1 %= previous_layer.n_individuals
newChromosome2 = np.append(
newChromosome2, previous_layer.population[parent1].
chromosome[CROSSOVER_POINT:Chromosome.L_CHROMOSOME], 0)
newAge = self.population[parent1].age if self.population[
parent1].age >= self.population[parent2].age else self.population[
parent2].age
descendant1 = Chromosome.constructor_crossover(newAge, newChromosome1)
descendant2 = Chromosome.constructor_crossover(newAge, newChromosome2)
descendant1.incrementAge()
descendant2.incrementAge()
return descendant1, descendant2
def generate_population(self):
self.population = [Chromosome] * self.n_individuals
for i in xrange(0, self.n_individuals):
self.population[i] = Chromosome()
self.populated = 1
