def objectives(self):
model = dtlz(10, 2, 1)
print "Calling GA with decs", self.decs
calculated_objs = ga(
model, self.base_min, self.base_max, self.basepop, self.decs[2],
self.decs[3], self.decs[0], self.decs[1]
) #args = (candidates, generation, mutation, crossover)
#print "new objs", calculated_objs
return calculated_objs
def objectives(self):
model = dtlz(10, 2, 1)
print "Calling GA with decs", self.decs
calculated_objs = ga(model, self.base_min, self.base_max, self.basepop, self.decs[2], self.decs[3], self.decs[0], self.decs[1]) #args = (candidates, generation, mutation, crossover)
#print "new objs", calculated_objs
return calculated_objs
return fromHell(b_min, b_max, b_pop, population)
#return population
iter_val = 0
for i in xrange(1):
fromHellval = search(iter_val)
iter_val += 1
return fromHellval
if __name__ == '__main__':
num_can = 500
num_gen = 100
p_mut = 5
p_cros = 1
for i in [10, 20, 40]:
for j in [2, 4, 6, 8]:
for k in [1, 3, 5, 7]:
print "GA for model DTLZ ", k, "with decisions = ", i, " objectives = ", j
model = dtlz(i, j, k)
base_min, base_max = baseline(model)
base_pop = basePopulation(model, base_min, base_max)
print "GA parameters:", " \n num_can: ", num_can, "\n num_gen: ", num_gen, "\n p_mut: ", p_mut,\
"\n p_cros: ", p_cros
print "Divergence Value from Baseline:", ga(
model, base_min, base_max, base_pop, num_can, num_gen,
p_mut, p_cros)
print "-" * 120
def return_basepop(): model = dtlz(10, 2, 1) base_min, base_max = return_baseline() return basePopulation(model, base_min, base_max)
def return_baseline(): model = dtlz(10, 2, 1) return baseline(model)
iter_val = 0
for i in xrange(1):
fromHellval = search(iter_val)
iter_val += 1
return fromHellval
if __name__ == '__main__':
num_can = 500
num_gen = 100
p_mut = 5
p_cros = 1
for i in [10, 20, 40]:
for j in [2, 4, 6, 8]:
for k in [1, 3, 5, 7]:
print "GA for model DTLZ ", k, "with decisions = ", i, " objectives = ", j
model = dtlz(i, j, k)
base_min, base_max = baseline(model)
base_pop = basePopulation(model, base_min, base_max )
print "GA parameters:", " \n num_can: ", num_can, "\n num_gen: ", num_gen, "\n p_mut: ", p_mut,\
"\n p_cros: ", p_cros
print "Divergence Value from Baseline:", ga(model, base_min, base_max, base_pop, num_can, num_gen, p_mut, p_cros)
print "-"*120
def return_baseline():
model = dtlz(10, 2, 1)
return baseline(model)
def return_basepop():
model = dtlz(10, 2, 1)
base_min, base_max = return_baseline()
return basePopulation(model, base_min, base_max)
