def produce_offspring(generation, genome_1: Genome,
genome_2: Genome) -> Genome:
# TODO: exclude excess genes of parent 2 if parent 1 is fitter
offspring = Genome(generation,
genome_1.input_nodes(),
genome_1.output_nodes(),
connections=False)
for node in genome_1.nodes() + genome_2.nodes():
if node not in offspring.nodes():
offspring.nodes().append(node.copy_without_connections())
# all common genes are appended randomly from either parent
for con in genome_1.connections():
if con in genome_2.connections():
index = genome_2.connections().index(con)
gene = _pick_random_gene(con, genome_2.connections()[index])
_append_con(gene, offspring)
for con in genome_1.connections() + genome_2.connections():
if (con in offspring.connections()) and (con.status()
== Status.DISABLED):
for in_con in offspring.connections():
if in_con == con and in_con.status() == Status.ENABLED:
if _disable_chance():
in_con.disable()
break
elif con not in offspring.connections():
if (con.status() == Status.DISABLED) and (not _disable_chance()):
con.enable()
_append_con(con, offspring)
return offspring
def produce_offspring(generation: Generation, genome_1: Genome, genome_2: Genome) -> Genome:
offspring = Genome(generation, genome_1.input_nodes(), genome_1.output_nodes(), connections=False)
for node in genome_1.nodes() + genome_2.nodes():
if node not in offspring.nodes():
offspring.nodes().append(node.copy_without_connections())
for con in genome_1.connections() + genome_2.connections():
if (con in offspring.connections()) and (con.status() == Status.DISABLED):
for i, in_con in enumerate(offspring.connections()):
if in_con == con and in_con.status() == Status.ENABLED:
if _disable_chance():
in_con.disable()
break
elif con not in offspring.connections():
if (con.status() == Status.DISABLED) and (not _disable_chance()):
con.enable()
offspring.connections().append(con)
return offspring