DirectEncoding(output_node_name="init_offset",
orig_size_xyz=IND_SIZE,
scale=MUT_SCALE,
p=MUT_RATE,
symmetric=False))
self.to_phenotype_mapping.add_map(name="init_offset",
tag="<PhaseOffset>")
if not os.path.isfile("./" + RUN_DIR + "/checkpoint.pickle"):
random.seed(SEED)
np.random.seed(SEED)
my_sim = Sim(dt_frac=DT_FRAC,
simulation_time=SIM_TIME,
min_temp_fact=MIN_TEMP_FACT,
fitness_eval_init_time=INIT_TIME)
my_env = Env(temp_amp=TEMP_AMP)
my_env.add_param("growth_amplitude", GROWTH_AMPLITUDE, "<GrowthAmplitude>")
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_pop = Population(my_objective_dict,
MyGenotype,
Phenotype,
pop_size=POP_SIZE)
return False
if name == "material_present":
state = details["state"]
if np.sum(state > 0) < np.product(
self.genotype.orig_size_xyz) * min_percent_full:
return False
return True
if not os.path.isfile("./" + RUN_DIR + "/pickledPops/Gen_0.pickle"):
random.seed(SEED)
np.random.seed(SEED)
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)
DirectEncoding(output_node_name="final_size",
orig_size_xyz=IND_SIZE,
scale=1,
p=MUT_RATE))
self.to_phenotype_mapping.add_map(name="final_size",
tag="<FinalVoxelSize>")
if not os.path.isfile("./" + RUN_DIR + "/pickledPops/Gen_0.pickle"):
random.seed(SEED)
np.random.seed(SEED)
my_sim = Sim(dt_frac=DT_FRAC,
simulation_time=SIM_TIME,
min_temp_fact=MIN_TEMP_FACT,
fitness_eval_init_time=INIT_TIME,
afterlife_time=AFTERLIFE_TIME,
mid_life_freeze_time=MID_LIFE_FREEZE_TIME)
my_env = Env(temp_amp=TEMP_AMP, time_between_traces=TIME_BETWEEN_TRACES)
my_env.add_param("growth_amplitude", GROWTH_AMPLITUDE, "<GrowthAmplitude>")
my_env.add_param("min_growth_time", MIN_GROWTH_TIME, "<MinGrowthTime>")
my_env.add_param("falling_prohibited", int(FALLING_PROHIBITED),
"<FallingProhibited>")
my_env.add_param("norm_dist_by_vol", int(NORMALIZE_DIST_BY_VOL),
"<NormDistByVol>")
my_env.add_param("normalization_exponent", int(NORMALIZATION_EXPONENT),
"<NormalizationExponent>")
my_env.add_param("save_traces", int(SAVE_TRACES), "<SaveTraces>")