def _run_serial():
times, convs, dives = [], [], []
for i in range(settings.runs):
model = DTLZ2(3)
algo = GALE_S(model)
start = clock()
print(i)
goods = algo.run()
times.append(clock() - start)
convs.append(algo.convergence(goods))
dives.append(algo.diversity(goods))
algo.solution_range(goods)
print("Time", times)
report(times, "Time Taken")
print("Convergence", convs)
report(convs, "Convergence")
print("Diversity", dives)
report(dives, "Diversity")
def _run_serial():
times, convs, dives = [], [], []
for i in range(settings.runs):
model = DTLZ2(3)
algo = GALE_S(model)
start = clock()
print(i)
goods = algo.run()
times.append(clock() - start)
convs.append(algo.convergence(goods))
dives.append(algo.diversity(goods))
algo.solution_range(goods)
print("Time", times)
report(times, "Time Taken")
print("Convergence", convs)
report(convs, "Convergence")
print("Diversity", dives)
report(dives, "Diversity")
def _run_parallel():
model = DTLZ2(3)
opt = DE_P(model)
times, convs, dives = [], [], []
for i in range(settings.runs):
print(i)
start = clock()
goods = DE_P.run(opt, id=i)
if RANK == 0:
times.append(clock() - start)
convs.append(opt.convergence(goods))
dives.append(opt.diversity(goods))
if RANK == 0:
print("Time", times)
report(times, "Time Taken")
print("Convergence", convs)
report(convs, "Convergence")
print("Diversity", dives)
report(dives, "Diversity")
def _run_parallel():
model = DTLZ2(3)
opt = DE_P(model)
times, convs, dives = [], [], []
for i in range(settings.runs):
print(i)
start = clock()
goods = DE_P.run(opt, id = i)
if RANK == 0:
times.append(clock() - start)
convs.append(opt.convergence(goods))
dives.append(opt.diversity(goods))
if RANK == 0:
print("Time", times)
report(times, "Time Taken")
print("Convergence", convs)
report(convs, "Convergence")
print("Diversity", dives)
report(dives, "Diversity")
