for i in range(replications):
cipde1[i].solve()
pp.saveExpObject(cipde1[i],
save_path + "cipde1_rep_" + str(i) + ".json")
print(save_path + "cipde1_rep_" + str(i) + ".json" + " -> saved")
##########################
# testbed problem 2 #
##########################
cipde2 = []
for i in range(replications):
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
cipde2.append(pde2.CiPde2(mpJadea, gakernel, nb1, nc1))
for i in range(replications):
cipde2[i].solve()
pp.saveExpObject(cipde2[i],
save_path + "cipde2_rep_" + str(i) + ".json")
print(save_path + "cipde2_rep_" + str(i) + ".json" + " -> saved")
##########################
# testbed problem 3 #
##########################
cipde3 = []
for i in range(replications):
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
cipde1.append(pde1.CiPde1(mpJADE, gskernel, nb1, nc1))
for i in range(replications):
cipde1[i].solve()
pp.saveExpObject(cipde1[i],
"../../cipde1_mpjgsk_rep_" + str(i) + ".json")
print("../../cipde1_mpjgsk_rep_" + str(i) + ".json" + " -> saved")
####################################
# testbed problem 2 for mpJADEa #
####################################
cipde2 = []
for i in range(replications):
initialPop = np.random.randn(60, 30)
mpJADE = oapMJ.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde2.append(pde2.CiPde2(mpJADE, gskernel, nb1, nc1))
for i in range(replications):
cipde2[i].solve()
pp.saveExpObject(cipde2[i],
"../../cipde2_mpjgsk_rep_" + str(i) + ".json")
print("../../cipde2_mpjgsk_rep_" + str(i) + ".json" + " -> saved")
####################################
# testbed problem 3 for mpJADEa #
####################################
cipde3 = []
for i in range(replications):
initialPop = np.random.randn(60, 30)
mpJADE = oapMJ.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde3.append(pde3.CiPde3(mpJADE, gskernel, nb1, nc1))
for i in range(replications):
obj = parallelResults[i].get()
pp.saveExpObject(obj, "../../cipde1_mj_rep_" + str(i) + ".json")
print("../../cipde1_mj_rep_" + str(i) + ".json" + " -> saved")
pool.close()
pool.join()
####################################
# testbed problem 2 for mJADE #
####################################
cipde2 = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJADE = oaMJ.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde2.append(pde2.CiPde2(mJADE, gakernel, nb1, nc1))
pool = Pool(processes=20)
parallelResults = []
for i in range(replications):
parallelResults.append(pool.apply_async(solveObj, args=(cipde2, i)))
for i in range(replications):
obj = parallelResults[i].get()
pp.saveExpObject(obj, "../../cipde2_mj_rep_" + str(i) + ".json")
print("../../cipde2_mj_rep_" + str(i) + ".json" + " -> saved")
pool.close()
pool.join()
####################################
for x1 in omega:
nc.append((x0, x1))
# boundary points
nb = []
nby = np.hstack(
(np.zeros(10), np.arange(0.0, 1.0,
0.1), np.ones(10), np.arange(1.0, 0.0, -0.1)))
nbx = np.hstack(
(np.arange(0.0, 1.0, 0.1), np.ones(10), np.arange(1.0, 0.0,
-0.1), np.zeros(10)))
for i in range(40):
nb.append((nbx[i], nby[i]))
# creating object
cipde2 = pde2.CiPde2(mJade, gkernel, nb, nc)
cipde2.solve()
saveExpObject(cipde2, "./save_test_large.json")
load_dict = loadExpObject("./save_test_large.json")
assert cipde2.kernel.kernel_type == load_dict["kernel_type"]
assert cipde2.exec_time == load_dict["exec_time"]
assert cipde2.mem_consumption == load_dict["mem_consumption"]
assert cipde2.normL2() == load_dict["normL2"]
assert np.allclose(cipde2.sol_kernel, load_dict["sol_kernel"])
assert np.allclose(cipde2.pop_history, load_dict["pop_history"])
assert np.allclose(cipde2.fit_history, load_dict["fit_history"])
assert np.allclose(cipde2.f_history, load_dict["f_history"])
assert np.allclose(cipde2.cr_history, load_dict["cr_history"])
for i in range(replications):
cipde1[i].solve()
pp.saveExpObject(
cipde1[i],
"D:/Nicolai/MA_Data/experiment0/cipde1_rep_" + str(i) + ".json")
print("D:/Nicolai/MA_Data/experiment0/cipde1_rep_" + str(i) + ".json" +
" -> saved")
##########################
# testbed problem 2 #
##########################
cipde2 = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJade = oaMemJade.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde2.append(pde2.CiPde2(mJade, gkernel, nb1, nc1))
for i in range(replications):
cipde2[i].solve()
pp.saveExpObject(
cipde2[i],
"D:/Nicolai/MA_Data/experiment0/cipde2_rep_" + str(i) + ".json")
print("D:/Nicolai/MA_Data/experiment0/cipde2_rep_" + str(i) + ".json" +
" -> saved")
##########################
# testbed problem 3 #
##########################
cipde3 = []
for i in range(replications):
initialPop = np.random.randn(40, 20)