def logging_example(alg,
D=10,
nFES=50000,
nGEN=100000,
seed=None,
optType=OptimizationType.MINIMIZATION,
optFunc=MinMB,
**kn):
task = TaskConvPrint(D=D,
nFES=nFES,
nGEN=nGEN,
optType=optType,
benchmark=optFunc())
algo = alg(seed=seed, task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
class TaskConvPrintTestCase(TestCase): def setUp(self): self.D, self.nFES, self.nGEN = 10, 10, 10 self.t = TaskConvPrint(D=self.D, nFES=self.nFES, nGEN=self.nGEN, benchmark=MyBenchmark()) def test_eval(self): self.t.eval(full(self.D, 2.)) self.assertTrue(array_equal(full(self.D, 2.), self.t.xb)) self.t.eval(full(self.D, -1.)) self.assertTrue(array_equal(full(self.D, -1.), self.t.xb)) self.t.eval(full(self.D, .0)) self.assertTrue(array_equal(full(self.D, .0), self.t.xb))
def logging_example(alg,
cec,
fnum=1,
D=10,
nFES=50000,
nGEN=5000,
seed=[None],
optType=OptimizationType.MINIMIZATION,
optFunc=MinMB,
wout=False,
sr=[-100, 100],
**kwu):
func = getCecBench(cec, D)
task = TaskConvPrint(D=D,
nFES=nFES,
nGEN=nGEN,
optType=optType,
benchmark=optFunc(func, sr[0], sr[1], fnum))
algo = alg(seed=seed[0], task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
def setUp(self): self.D, self.nFES, self.nGEN = 10, 10, 10 self.t = TaskConvPrint(D=self.D, nFES=self.nFES, nGEN=self.nGEN, benchmark=MyBenchmark())