my_sim = Sim(dt_frac=DT_FRAC,
simulation_time=SIM_TIME,
fitness_eval_init_time=INIT_TIME)
my_env = Env(temp_amp=TEMP_AMP, frequency=FREQ, density=DENSITY)
my_objective_dict = ObjectiveDict()
my_objective_dict.add_objective(name="fitness",
maximize=True,
tag="<normAbsoluteDisplacement>")
if AGE_PROTECTION:
my_objective_dict.add_objective(name="age", maximize=False, tag=None)
my_pop = Population(my_objective_dict,
MyGenotype,
MyPhenotype,
pop_size=POP_SIZE)
my_optimization = ParetoOptimization(my_sim, my_env, my_pop)
my_optimization.run(max_hours_runtime=MAX_TIME,
max_gens=MAX_GENS,
num_random_individuals=NUM_RANDOM_INDS,
directory=RUN_DIR,
name=RUN_NAME,
max_eval_time=MAX_EVAL_TIME,
time_to_try_again=TIME_TO_TRY_AGAIN,
checkpoint_every=CHECKPOINT_EVERY,
save_vxa_every=SAVE_VXA_EVERY,
save_lineages=SAVE_LINEAGES)
else:
my_objective_dict = ObjectiveDict()
my_objective_dict.add_objective(name="fitness",
maximize=True,
tag="<finalDistY>")
my_objective_dict.add_objective(name="age", maximize=False, tag=None)
my_objective_dict.add_objective(name="lifetime",
maximize=True,
tag="<Lifetime>",
logging_only=True)
my_objective_dict.add_objective(name="trace",
maximize=True,
tag="<CMTrace>",
logging_only=True)
my_pop = Population(my_objective_dict,
MyGenotype,
Phenotype,
pop_size=POP_SIZE)
names = [k for k, v in NET_DICT.items()]
nets = [v for k, v in NET_DICT.items()]
my_pop.replace_ind_networks(names, nets)
my_optimization = SetMutRateOptimization(my_sim, my_env, my_pop,
MUT_NET_PROB_DIST)
my_optimization.run(max_hours_runtime=MAX_TIME,
max_gens=MAX_GENS,
num_random_individuals=NUM_RANDOM_INDS,
directory=RUN_DIR,
name=RUN_NAME,
max_eval_time=MAX_EVAL_TIME,
time_to_try_again=TIME_TO_TRY_AGAIN,