def afpo(self):
envs = ENVIRONMENTS()
print('envs to run:', c.envsToRun, ' pop init:',
c.num_rand_phc + len(self.fit_ids))
parents = POPULATION(c.num_rand_phc + len(self.fit_ids))
parents.InitializeRandomPop()
# parents = self.phc_ga(parents, envs, c.afpo2_phc_gens)
# print('\n############# phc done #############\n')
parents.Evaluate(envs, False, True)
for i in range(0, len(parents.p)):
parents.p[i].age += i
# for i in range(0, len(parents.p)):
# print('p[' + str(i) + '].age =', parents.p[i].age)
print("Initial population age adjusted")
parents.Print()
finalpop = self.af_pareto_ga(parents, envs)
frontinds = self.af_pareto_math(finalpop.GetAges(), finalpop.GetFits())
finalpopfront = POPULATION(len(frontinds))
for i in range(0, len(frontinds)):
finalpopfront.p[i] = finalpop.p[frontinds[i]]
finalpopfront.Pickling618()
self.ShowEvaluatePop(finalpopfront, envs, pp=True, pb=False)
def afpo(self):
envs = ENVIRONMENTS()
print('envs to run:', c.envsToRun, ' pop init:',
c.num_rand_phc + len(self.fit_ids))
parents = POPULATION(c.num_rand_phc + len(self.fit_ids))
parents.InitializeRandomPop()
parents = self.phc_ga(parents, envs, c.afpo2_phc_gens)
print('\n############# phc done #############\n')
for i in range(0, len(parents.p)):
parents.p[i].age += i
for i in range(0, len(parents.p)):
print('p[' + str(i) + '].age =', parents.p[i].age)
# 3rd arg gens=2 by default
parents = self.af_pareto_ga(parents, envs, c.afpo2_afpo_gens)
parents.Pickling618()
def combo_simple_phc_ga(self):
envs = ENVIRONMENTS()
# parents = POPULATION(c.num_rand_phc)
# print('envs:', c.envsToRun, ' pop init:', c.num_rand_phc)
# parents.InitializeRandomPop()
# parents.Evaluate(envs, False, True)
pop_phc = POPULATION(c.combo_ga_num_slots)
for k in range(0, c.combo_ga_num_slots):
print("***** Slot number", k, "*****")
pop_phc.p[k] = self.simple_ga(envs)
pop_phc.p[k].ID = k
pop_phc = self.phc_ga(pop_phc, envs)
pop_phc.Pickling618()
self.ShowEvaluatePop(pop_phc, envs, True, False)
