for i in range(replications):
cipde0B[i].solve()
pp.saveExpObject(cipde0B[i],
save_path + "cipde0b_rep_" + str(i) + ".json")
print(save_path + "cipde0b_rep_" + str(i) + ".json" + " -> saved")
##########################
# testbed problem 1 #
##########################
cipde1 = []
for i in range(replications):
initialPop = np.random.randn(8, 4)
mpJadea = oaMempJadeadaptive.OptAlgoMemeticpJADEadaptive(
initialPop, max_fe, min_err)
cipde1.append(pde1.CiPde1(mpJadea, gakernel, nb1, nc1))
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)
for i in range(replications):
obj = parallelResults[i].get()
pp.saveExpObject(obj, "../../cipde0b_mj_rep_" + str(i) + ".json")
print("../../cipde0b_mj_rep_" + str(i) + ".json" + " -> saved")
pool.close()
pool.join()
####################################
# testbed problem 1 for mJADE #
####################################
cipde1 = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJADE = oaMJ.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde1.append(pde1.CiPde1(mJADE, gakernel, nb1, nc1))
pool = Pool(processes=20)
parallelResults = []
for i in range(replications):
parallelResults.append(pool.apply_async(solveObj, args=(cipde1, i)))
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()
####################################
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")
print("../../cipde0b_mpjgsk_rep_" + str(i) + ".json" + " -> saved")
####################################
# testbed problem 1 for mpJADEa #
####################################
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],
"../../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):
cipde0B[i].solve()
pp.saveExpObject(
cipde0B[i],
"D:/Nicolai/MA_Data/experiment0/cipde0b_rep_" + str(i) + ".json")
print("D:/Nicolai/MA_Data/experiment0/cipde0b_rep_" + str(i) +
".json" + " -> saved")
##########################
# testbed problem 1 #
##########################
cipde1 = []
for i in range(replications):
initialPop = np.random.randn(40, 20)
mJade = oaMemJade.OptAlgoMemeticJADE(initialPop, max_fe, min_err)
cipde1.append(pde1.CiPde1(mJade, gkernel, nb1, nc1))
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)