def type2(era1,era2):
a12_o1 = a12(calc_obj1(era1),calc_obj1(era2))
a12_o2 = a12(calc_obj2(era1),calc_obj2(era2))
if a12_o1 >=0.56 or a12_o2>0.56:
return 5
else:
# print a12_o1,a12_o2
return -1
def type2_comparison(self, current_era, previous_era): curr_era_objectives = self.get_objectives_list(current_era) prev_era_objectives = self.get_objectives_list(previous_era) # print sk.a12(curr_era_objectives, prev_era_objectives) if (sk.a12(curr_era_objectives, prev_era_objectives) > 0.56): return 5 return -1
def type2_comparison(self, current_era, previous_era):
curr_era_objectives = self.get_objectives_list(current_era)
prev_era_objectives = self.get_objectives_list(previous_era)
# print sk.a12(curr_era_objectives, prev_era_objectives)
if (sk.a12(curr_era_objectives, prev_era_objectives) > 0.56):
return 5
return -1
def type2(era_one, era_two, model):
for objective in model.get_objectives():
era_one_objective = []
era_two_objective = []
for i in xrange(0, len(era_one)):
era_one_objective.append(objective(era_one[i]))
era_two_objective.append(objective(era_two[i]))
if (a12(era_one_objective, era_two_objective) > 0.56):
return 5
return -1
def type2(era_one, era_two, model):
for objective in model.get_objectives():
era_one_objective = []
era_two_objective = []
for i in xrange(0, len(era_one)):
era_one_objective.append(objective(era_one[i]))
era_two_objective.append(objective(era_two[i]))
if (a12(era_one_objective, era_two_objective) > 0.56):
return 5
return -1
def calc_a12(self):
if self.current_generation % 100 != 99 or self.current_generation < 199:
return 0
gen1 = []
gen2 = []
for i in range(self.current_generation-199, self.current_generation-99):
gen1 += self.generations[i].candidates
for i in range(self.current_generation-99, self.current_generation+1):
gen2 += self.generations[i].candidates
sum1 = [sum(c.fitness) for c in gen1]
sum2 = [sum(c.fitness) for c in gen2]
a12 = sk.a12(sum1, sum2)
return 1 if a12 > 0.56 else 0
def penalize_lives(self):
"""
Type II comparison
Compares between current frontier and the previous frontier
if atleast one is better in the current frontier - dont penalize
"""
for i in xrange(0,model.num_objectives):
era_old=[]
era_new=[]
for j in xrange(0,len(self.frontier_new)):
era_old.append(self.frontier[j][i])
era_new.append(self.frontier_new[j][i])
if (a12(era_new, era_old) > 0.4):
return 5
return -1
def type2(list1, list2):
if (sk.a12(list1, list2) <= 0.56):
return -1
else:
return 5
def type2(model1,model2):
if (sk.a12(model1,model2) <= 0.6):
return -1
else:
return 5
def type2(prev_era,curr_era):
improvement = a12(curr_era,prev_era)
if improvement > 0.5:
return 5
else:
return -1
def same(): return a12(new, old)<=0.56 if self.less:
