ga_1d.py

# check breedable
def breedable(parents):
    # add two gene sequences
    # if two gene at the same index is different
    # the sum will be 1
    # if more than 1 position is different
    # then they are breedable
    x = parents[0].gene + parents[1].gene
    if np.count_nonzero(x == 1) >= 2:
        return True
    else:
        return False

# breed
def breed(parents):
    score = min(parents[0].score, parents[1].score)
    x = parents[0].gene + parents[1].gene
    # get swap index
    idx = np.random.choice(np.where(x==1)[0])
    
    # in order not to confuse, create copies
    offspring_gene1 = deepcopy(parents[0].gene)
    offspring_gene2 = deepcopy(parents[1].gene)
    offspring_gene1[idx], offspring_gene2[idx] = offspring_gene2[idx], offspring_gene1[idx]
    
    # new lineup score will inherite from the lowest parent score
    # born with a silver spoon in the mouth
    lineup1 = Lineup(score=score, gene=offspring_gene1)
    lineup2 = Lineup(score=score, gene=offspring_gene2)
    
    return lineup1, lineup2