def objs(self, x):
mod = Kursawe()
min_objs, max_objs = mod.baseline_objs()
frontier = ga(x[0], x[1], x[2]).run(mod)
filename = "hyper.out"
Utility.write_to_file(mod, filename, frontier, min_objs, max_objs)
output = HyperVolume_wrapper()
## Will always
hve = 0
for out in output:
hve = out.hypervolume
return hve
def objs(self, x):
mod = Kursawe()
min_objs, max_objs = mod.baseline_objs()
frontier = ga(x[0], x[1], x[2]).run(mod)
filename = "hyper.out"
Utility.write_to_file(mod, filename, frontier, min_objs, max_objs)
output = HyperVolume_wrapper()
## Will always
hve = 0
for out in output:
hve = out.hypervolume
return hve
f.close()
######################### End function to write to File
repeats = 5
objs = [2,4,6,8]
decs = [10,20,40]
for model in [DTLZ1,DTLZ3,DTLZ5,DTLZ7]:
for obj in objs:
for dec in decs:
cur_e = []
mod = model(dec,obj)
min_objs,max_objs = mod.baseline_objs()
for _ in range(repeats):
print("# Repeat: %d" % (_))
data = []
mod = model(dec,obj)
opt_rpt = []
g_algo = ga()
t1 = time.time()
frontier = ga().run(mod)
t2 = time.time()
filename = mod.name + "-" + str(mod) +"-" + str(dec) + "-PF-"+ str(_)
write_to_file(mod,filename,frontier,min_objs,max_objs)
print("# Runtime: %.3f secs" % (t2-t1))
opt_rpt.append(float(t2-t1))
avg_time = sum(opt_rpt) / len(opt_rpt)
#avg_energy = (avg_energy - min)/(max - min)
print "="*50
print "\nStarting Model = %s Optimizer = %s No. of Decision = %s No. of Objectives = %s \n" % (mod.name,str("GA"),str(dec),str(obj))
print("# Average: %.3f secs" % (avg_time))
print "="*50
HyperVolume_wrapper()
local = []
local.append(facts[s])
for model in [DTLZ7]:
data = []
opt_rpt = []
#opt_rpt.append(ga.name)
for obj in objs:
for dec in decs:
cur_e = []
mod = model(dec,obj)
min_objs,max_objs = mod.baseline_objs()
for _ in range(repeats):
#print "Starting Model = %s Optimizer = %s \n" % (mod.name,str("ga"))
print "-"*50
t1 = time.time()
frontier = ga(setting[0],setting[1],setting[2]).run(mod)
t2 = time.time()
filename = mod.name + "-" + str(obj)
Utility.write_to_file(mod,filename,frontier,min_objs,max_objs)
print("# Runtime: %.3f secs" % (t2-t1))
output = HyperVolume_wrapper()
for out in output:
local.append(out.hypervolume)
opt_rpt.append(float(t2-t1))
print "-"*50
avg_time = sum(opt_rpt) / len(opt_rpt)
print "="*50
print "\nModel = %s Optimizer = %s No. of Decision = %s No. of Objectives = %s \n" % (mod.name,str("GA"),str(dec),str(obj))
print "min = ", min_objs
print "max = ", max_objs
print("# Average: %.3f secs" % (avg_time))
######################### End function to write to File
repeats = 5
objs = [2, 4, 6, 8]
decs = [10, 20, 40]
for model in [DTLZ1, DTLZ3, DTLZ5, DTLZ7]:
for obj in objs:
for dec in decs:
cur_e = []
mod = model(dec, obj)
min_objs, max_objs = mod.baseline_objs()
for _ in range(repeats):
print("# Repeat: %d" % (_))
data = []
mod = model(dec, obj)
opt_rpt = []
g_algo = ga()
t1 = time.time()
frontier = ga().run(mod)
t2 = time.time()
filename = mod.name + "-" + str(mod) + "-" + str(
dec) + "-PF-" + str(_)
write_to_file(mod, filename, frontier, min_objs, max_objs)
print("# Runtime: %.3f secs" % (t2 - t1))
opt_rpt.append(float(t2 - t1))
avg_time = sum(opt_rpt) / len(opt_rpt)
#avg_energy = (avg_energy - min)/(max - min)
print "=" * 50
print "\nStarting Model = %s Optimizer = %s No. of Decision = %s No. of Objectives = %s \n" % (
mod.name, str("GA"), str(dec), str(obj))
print("# Average: %.3f secs" % (avg_time))
print "=" * 50
local = []
local.append(facts[s])
for model in [DTLZ7]:
data = []
opt_rpt = []
#opt_rpt.append(ga.name)
for obj in objs:
for dec in decs:
cur_e = []
mod = model(dec, obj)
min_objs, max_objs = mod.baseline_objs()
for _ in range(repeats):
#print "Starting Model = %s Optimizer = %s \n" % (mod.name,str("ga"))
print "-" * 50
t1 = time.time()
frontier = ga(setting[0], setting[1],
setting[2]).run(mod)
t2 = time.time()
filename = mod.name + "-" + str(obj)
Utility.write_to_file(mod, filename, frontier,
min_objs, max_objs)
print("# Runtime: %.3f secs" % (t2 - t1))
output = HyperVolume_wrapper()
for out in output:
local.append(out.hypervolume)
opt_rpt.append(float(t2 - t1))
print "-" * 50
avg_time = sum(opt_rpt) / len(opt_rpt)
print "=" * 50
print "\nModel = %s Optimizer = %s No. of Decision = %s No. of Objectives = %s \n" % (
mod.name, str("GA"), str(dec), str(obj))
print "min = ", min_objs
