Genetic Algorithm Operators in Python
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Genetic Algorithm Implementation Functions
The following Python functions demonstrate key components of Genetic Algorithms, including crossover, selection, and population initialization.
Four-Point Crossover Method
This function performs a four-point crossover using four parents to generate offspring.
def four_point_cross(parent1, parent2, parent3, parent4):
pos_alea = sorted(list(np.random.choice(range(1, parent1), 4, replace=False)))
hijo1 = parent1[:pos_alea[0]] + parent2[pos_alea[0]:pos_alea[1]], parent1[:pos_alea[1:2]], parent2[pos_alea[2]:pos_alea[3]], parent1[:pos_alea[3:]]
hijo2 = parent2[:pos_alea[0]] + parent3[pos_alea[0]:pos_alea[1]], parent2[:pos_alea[1:2]], parent3[pos_alea[2]:pos_alea[3]], parent2[:pos_alea[3:]]
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