cipde0A = []
for i in range(replications):
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
cipde0A.append(pde0A.CiPde0A(mpJadea, gakernel, nb2, nc2))
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
remove_outlier = pde0A.CiPde0A(mpJadea, gakernel, nb2, nc2)
remove_outlier.solve()
for i in range(replications):
cipde0A[i].solve()
pp.saveExpObject(cipde0A[i],
save_path + "cipde0a_rep_" + str(i) + ".json")
print(save_path + "cipde0a_rep_" + str(i) + ".json" + " -> saved")
##########################
# testbed problem 0B #
##########################
cipde0B = []
for i in range(replications):
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
cipde0B.append(pde0B.CiPde0B(mpJadea, gakernel, nb2, nc2))
for i in range(replications):
cipde0B[i].solve()
pp.saveExpObject(cipde0B[i],
-0.1), np.zeros(10)))
for i in range(40):
nb1.append((nbx[i], nby[i]))
####################################
# testbed problem 0A for mpJADEa #
####################################
cipde0A = []
for i in range(replications):
initialPop = np.random.randn(60, 30)
mpJADE = oapMJ.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde0A.append(pde0A.CiPde0A(mpJADE, gskernel, nb2, nc2))
for i in range(replications):
cipde0A[i].solve()
pp.saveExpObject(cipde0A[i],
"../../cipde0a_mpjgsk_rep_" + str(i) + ".json")
print("../../cipde0a_mpjgsk_rep_" + str(i) + ".json" + " -> saved")
####################################
# testbed problem 0B for mpJADEa #
####################################
cipde0B = []
for i in range(replications):
initialPop = np.random.randn(60, 30)
mpJADE = oapMJ.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde0B.append(pde0B.CiPde0B(mpJADE, gskernel, nb2, nc2))
for i in range(replications):
cipde0B[i].solve()
pp.saveExpObject(cipde0B[i],
"../../cipde0b_mpjgsk_rep_" + str(i) + ".json")
# testbed problem 0A for mJADE #
####################################
cipde0A = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJADE = oaMJ.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde0A.append(pde0A.CiPde0A(mJADE, gakernel, nb2, nc2))
pool = Pool(processes=20)
parallelResults = []
for i in range(replications):
parallelResults.append(pool.apply_async(solveObj, args=(cipde0A, i)))
for i in range(replications):
obj = parallelResults[i].get()
pp.saveExpObject(obj, "../../cipde0a_mj_rep_" + str(i) + ".json")
print("../../cipde0a_mj_rep_" + str(i) + ".json" + " -> saved")
pool.close()
pool.join()
####################################
# testbed problem 0B for mJADE #
####################################
cipde0B = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJADE = oaMJ.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde0B.append(pde0B.CiPde0B(mJADE, gakernel, nb2, nc2))
pool = Pool(processes=20)
# cipde0A[i].solve()
# pp.saveExpObject(cipde0A[i], save_path + "cipde0a_mpjgsk_rep_" + str(i) + ".json")
# print(save_path + "cipde0a_mpjgsk_rep_" + str(i) + ".json" + " -> saved")
##########################
# testbed problem 0B #
##########################
cipde0B = []
for i in range(replications):
initialPop = np.random.randn(60, 30)
mpJade = oapMJ.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde0B.append(pde0B.CiPde0B(mpJade, gskernel, nb2, nc2))
for i in range(replications):
cipde0B[i].solve()
pp.saveExpObject(cipde0B[i],
save_path + "cipde0b_mpjgsk_rep_" + str(i) + ".json")
print(save_path + "cipde0b_mpjgsk_rep_" + str(i) + ".json" +
" -> saved")
# ##########################
# # testbed problem 1 #
# ##########################
# cipde1 = []
# for i in range(replications):
# initialPop = np.random.randn(60,30)
# mpJade = oapMJ.OptAlgoMemeticpJADE(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], save_path + "cipde1_mpjgsk_rep_" + str(i) + ".json")
##########################
cipde0A = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mpJade = oaMempJade.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde0A.append(pde0A.CiPde0A(mpJade, gkernel, nb2, nc2))
initialPop = np.random.randn(40, 20)
mpJade = oaMempJade.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
remove_outlier = pde0A.CiPde0A(mpJade, gkernel, nb2, nc2)
remove_outlier.solve()
for i in range(replications):
cipde0A[i].solve()
pp.saveExpObject(
cipde0A[i], "D:/Nicolai/MA_Data/time_experiment_1/cipde0a_rep_" +
str(i) + ".json")
print("D:/Nicolai/MA_Data/time_experiment_1/cipde0a_rep_" + str(i) +
".json" + " -> saved")
##########################
# testbed problem 0B #
##########################
cipde0B = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mpJade = oaMempJade.OptAlgoMemeticpJADE(initialPop, max_fe, min_err)
cipde0B.append(pde0B.CiPde0B(mpJade, gkernel, nb2, nc2))
for i in range(replications):
cipde0B[i].solve()