def test_abslinear(self):
f = simul.abslinear
n = 1
bd = np.zeros((n, 2))
bd[0, 0] = -100.
bd[0, 1] = 100.
mypb = genop.Genop()
mypb.verbose = False
self.assertEqual(mypb.popsize, 100)
self.assertEqual(mypb.pbcross, 0.7)
self.assertEqual(mypb.pbmut, 0.1)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(2000)
self.assertTrue(np.abs(xopt[-1] - 2.) < 1.e-3)
def test_eggholder(self):
f = simul.eggholder
n = 2
bd = np.zeros((n, 2))
bd[0, 0] = -512.
bd[0, 1] = 512.
bd[1, 0] = -512.
bd[1, 1] = 512.
mypb = genop.Genop(1000)
mypb.verbose = False
self.assertEqual(mypb.popsize, 1000)
self.assertEqual(mypb.pbcross, 0.7)
self.assertEqual(mypb.pbmut, 0.1)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(20)
self.assertTrue(fcost[-1] < -900.)
def test_easom(self):
f = simul.easom
n = 2
bd = np.zeros((n, 2))
bd[0, 0] = -100.
bd[0, 1] = 100.
bd[1, 0] = -100.
bd[1, 1] = 100.
mypb = genop.Genop()
mypb.verbose = False
self.assertEqual(mypb.popsize, 100)
self.assertEqual(mypb.pbcross, 0.7)
self.assertEqual(mypb.pbmut, 0.1)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(nbgen=100)
self.assertTrue(np.abs(fcost[-2] - fcost[-1]) < 1.e-12)
def test_maccormick(self):
f = simul.maccormick
n = 2
bd = np.zeros((n, 2))
bd[0, 0] = -1.5
bd[0, 1] = 4.
bd[1, 0] = -3.
bd[1, 1] = 4.
mypb = genop.Genop(90, 0.69, 0.05)
mypb.verbose = False
self.assertEqual(mypb.popsize, 90)
self.assertEqual(mypb.pbcross, 0.69)
self.assertEqual(mypb.pbmut, 0.05)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(20)
self.assertTrue(fcost[-1] < -1.91)
def test_rosenbrock(self):
f = simul.rosenbrock
n = 2
bd = np.zeros((n, 2))
bd[0, 0] = -5.
bd[0, 1] = 5.
bd[1, 0] = -5.
bd[1, 1] = 5.
mypb = genop.Genop()
mypb.verbose = True
self.assertEqual(mypb.popsize, 100)
self.assertEqual(mypb.pbcross, 0.7)
self.assertEqual(mypb.pbmut, 0.1)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(20, nproc=2)
self.assertTrue(fcost[-1] < 1.e-2)
def test_linear(self):
f = simul.linear
n = 3
bd = np.zeros((n, 2))
bd[0, 0] = -3.14
bd[0, 1] = 3.14
bd[1, 0] = 0.
bd[1, 1] = 5.
bd[2, 0] = -10.
bd[2, 1] = 20.
mypb = genop.Genop()
mypb.verbose = False
self.assertEqual(mypb.popsize, 100)
self.assertEqual(mypb.pbcross, 0.7)
self.assertEqual(mypb.pbmut, 0.1)
error = mypb.initialize(f, n, bd)
self.assertEqual(error, 0)
fcost, xopt = mypb.optimize(200)
self.assertTrue(fcost[-1] < -23.1)