Example #1
0
def generate_crossover_pairs(n):
    for i in range(n):
        LEN = random.randint(MINLEN, MAXLEN)
        g = [random.randint(0, MAXV-1) for i in range(LEN)]
        gind = IndividualWithSemantics(g)
        if gind[phenotype_idx] is None:
            continue
        LEN = random.randint(MINLEN, MAXLEN)
        h = [random.randint(0, MAXV-1) for i in range(LEN)]
        hind = IndividualWithSemantics(h)
        if hind[phenotype_idx] is None:
            continue
        children = xover(gind, hind)
        cind0 = IndividualWithSemantics(children[0])
        cind1 = IndividualWithSemantics(children[1])
        if cind0[phenotype_idx] is not None:
            yield (gind, cind0)
            yield (hind, cind0)
        if cind1[phenotype_idx] is not None:
            yield (gind, cind1)
            yield (hind, cind1)
Example #2
0
def generate_crossover_pairs(n):
    for i in range(n):
        LEN = random.randint(MINLEN, MAXLEN)
        g = [random.randint(0, MAXV-1) for i in range(LEN)]
        gind = make_individual(g)
        if gind.phenotype is None:
            continue
        LEN = random.randint(MINLEN, MAXLEN)
        h = [random.randint(0, MAXV-1) for i in range(LEN)]
        hind = make_individual(h)
        if hind.phenotype is None:
            continue
        children = xover(gind, hind)
        cind0 = make_individual(children[0])
        cind1 = make_individual(children[1])
        if cind0.phenotype is not None:
            yield (gind, cind0)
            yield (hind, cind0)
        if cind1.phenotype is not None:
            yield (gind, cind1)
            yield (hind, cind1)