def tabu(N, NL, S, L, items, completion, tardiness, line_values, item_values, G, lambda1, lambda2):
TL = [None] * NL
from_same = []
from_diff = []
pairs = generate.pairsets(L)
completion_temp = completion[:] # backup all the var
tardiness_temp = tardiness[:]
line_values_temp = line_values[:]
item_values_temp = item_values[:]
delta_star = 0
Delta = 0
L_star = L[:]
m = len(S)
S_star = [None] * m
for l in xrange(m):
S_star[l] = S[l][:]
for k in xrange(N):
delta = []
issame = 0
isdiff = 0
out = 0
for s in pairs:
job = list(s)
a_L_index = max(L.index(job[0]), L.index(job[1]))
b_L_index = min(L.index(job[0]), L.index(job[1]))
a = L[a_L_index]
b = L[b_L_index]
l_a = generate.find_job(a, S)
l_b = generate.find_job(b, S)
a_idx = S[l_a].index(a)
b_idx = S[l_b].index(b)
if s not in TL:
if l_a == l_b:
S_k, c_k, t_k, v_k, delta_h = same_delta(
a, b, S[l_a], items, line_values_temp[l_a], lambda1, lambda2
)
else:
# delta_I
S_I_1, S_I_2, c_I_1, c_I_2, t_I_1, t_I_2, v_I_1, v_I_2, c_I_2, delta_I = delta1(
S, l_a, l_b, a, b_idx, item_values, items, line_values_temp, lambda1, lambda2
)
# delta_II
S_II_1, S_II_2, c_II_1, c_II_2, t_II_1, t_II_2, v_II_1, v_II_2, delta_II = delta2(
S, l_a, l_b, b, a_idx, item_values, items, line_values_temp, lambda1, lambda2
)
# delta_III
S_III_1, S_III_2, c_III_1, c_III_2, t_III_1, t_III_2, v_III_1, v_III_2, delta_III = delta3(
S, l_a, l_b, a, b, a_idx, b_idx, item_values, items, line_values_temp, lambda1, lambda2
)
delta_h = min(delta_I, delta_II, delta_III)
elif s in from_same:
continue
else:
# delta_i
S_i_1, S_i_2, c_i_1, c_i_2, t_i_1, t_i_2, v_i_1, v_i_2, c_i_2, delta_i = delta1(
S, l_a, l_b, a, b_idx, item_values, items, line_values_temp, lambda1, lambda2
)
# delta_ii
S_ii_1, S_ii_2, c_ii_1, c_ii_2, t_ii_1, t_ii_2, v_ii_1, v_ii_2, delta_ii = delta2(
S, l_a, l_b, b, a_idx, item_values, items, line_values_temp, lambda1, lambda2
)
delta_h = min(delta_i, delta_ii)
if delta == [] or delta_h < delta:
delta = delta_h
a_temp, b_temp = a, b
l_a_temp, l_b_temp = l_a, l_b
if l_a == l_b:
S_temp = S_k[:]
c_temp, t_temp, v_temp = c_k, t_k, v_k
issame, isdiff = 1, 0
out = 0
else:
if s in TL:
out = 1
issame, isdiff = 0, 0
if delta == delta_i:
c1_temp, t1_temp, v1_temp = c_i_1, t_i_1, v_i_1
c2_temp, t2_temp, v2_temp = c_i_2, t_i_2, v_i_2
S1_temp, S2_temp = S_i_1, S_i_2
elif delta == delta_ii:
c1_temp, t1_temp, v1_temp = c_ii_1, t_ii_1, v_ii_1
c2_temp, t2_temp, v2_temp = c_ii_2, t_ii_2, v_ii_2
S1_temp, S2_temp = S_ii_1, S_ii_2
else:
out = 0
if delta == delta_I:
c1_temp, t1_temp, v1_temp = c_I_1, t_I_1, v_I_1
c2_temp, t2_temp, v2_temp = c_I_2, t_I_2, v_I_2
S1_temp, S2_temp = S_I_1, S_I_2
issame, isdiff = 0, 0
elif delta == delta_II:
c1_temp, t1_temp, v1_temp = c_II_1, t_II_1, v_II_1
c2_temp, t2_temp, v2_temp = c_II_2, t_II_2, v_II_2
S1_temp, S2_temp = S_II_1, S_II_2
issame, isdiff = 0, 0
elif delta == delta_III:
c1_temp, t1_temp, v1_temp = c_III_1, t_III_1, v_III_1
c2_temp, t2_temp, v2_temp = c_III_2, t_III_2, v_III_2
S1_temp, S2_temp = S_III_1, S_III_2
issame, isdiff = 0, 1
if delta == []:
continue
L = generate.innerswap(L, L.index(a_temp), L.index(b_temp))
pairs = generate.pairsets(L)
change_set = set([a_temp, b_temp])
if out:
TL[TL.index(change_set)] = None
from_diff.remove(change_set)
delete_set = TL.pop(0)
if delete_set in from_same:
from_same.remove(delete_set)
elif delete_set in from_diff:
from_diff.remove(delete_set)
if isdiff or issame:
TL.append(change_set)
if isdiff:
from_diff.append(change_set)
if issame:
from_same.append(change_set)
else:
TL.append(None)
if l_a_temp != l_b_temp:
c_temp = c1_temp + c2_temp
t_temp = t1_temp + t2_temp
v_temp = v1_temp + v2_temp
i = 0
for j in S1_temp + S2_temp:
completion_temp[j] = c_temp[i]
tardiness_temp[j] = t_temp[i]
item_values_temp[j] = v_temp[i]
i += 1
S[l_a_temp] = S1_temp[:]
S[l_b_temp] = S2_temp[:]
line_values_temp[l_a_temp] = sum(v1_temp)
line_values_temp[l_b_temp] = sum(v2_temp)
else:
S[l_a_temp] = S_temp[:]
line_values_temp[l_a_temp] = sum(v_temp)
TL, from_same, from_diff = generate.TL_update(TL, from_same, from_diff, S)
Delta += delta
if Delta < delta_star:
delta_star = Delta
for l in xrange(m):
S_star[l] = S[l][:]
L_star = L[:]
line_values = line_values_temp[:]
item_values = item_values_temp[:]
completion = completion_temp[:]
tardiness = tardiness_temp[:]
return delta_star, S_star, L_star, line_values, item_values, completion, tardiness
def tabu(N, NL, S, L, items, G, lambda1, lambda2):
TL = [None] * NL
from_same = []
from_diff = []
pairs = generate.pairsets(L)
G_star = G
L_star = L[:]
S_c = []
S_ori = []
for s in S:
S_ori.append(s[:])
S_c.append(s[:])
G_test = 0
for k in xrange(N):
issame = 0
isdiff = 0
out = 0
s = random.choice(pairs)
move = 0
job = list(s)
a_L_index = max(L.index(job[0]), L.index(job[1]))
b_L_index = min(L.index(job[0]), L.index(job[1]))
a = L[a_L_index]
b = L[b_L_index]
l_a = generate.find_job(a, S)
l_b = generate.find_job(b, S)
a_idx = S[l_a].index(a)
b_idx = S[l_b].index(b)
if s not in TL:
if l_a == l_b:
# a <--> b
S_temp = same_S(S, l_a, a_idx, b_idx)
G_temp = test_G(items, S_temp, lambda1, lambda2)
else:
# a -> b's
S_temp_1 = diff1_S(S, l_a, l_b, a, b_idx)
G_temp_1 = test_G(items, S_temp_1, lambda1, lambda2)
# b -> a's
S_temp_2 = diff2_S(S, l_a, l_b, b, a_idx)
G_temp_2 = test_G(items, S_temp_2, lambda1, lambda2)
# a <--> b
S_temp_3 = diff3_S(S, l_a, l_b, a, b, a_idx, b_idx)
G_temp_3 = test_G(items, S_temp_3, lambda1, lambda2)
G_temp = min(G_temp_1, G_temp_2, G_temp_3)
elif s in from_same:
continue
elif s in from_diff:
# a -> b's
S_temp_1 = diff1_S(S, l_a, l_b, a, b_idx)
G_temp_1 = test_G(items, S_temp_1, lambda1, lambda2)
# b -> a's
S_temp_2 = diff2_S(S, l_a, l_b, b, a_idx)
G_temp_2 = test_G(items, S_temp_2, lambda1, lambda2)
G_temp = min(G_temp_1, G_temp_2)
if G_test == 0 or G_temp < G_test:
move = 1
G_test = G_temp
a_temp, b_temp = a, b
l_a_temp, l_b_temp = l_a, l_b
if l_a == l_b:
S_star = S_temp
issame, isdiff = 1, 0
out = 0
else:
if s in TL:
out = 1
issame, isdiff = 0, 0
if G_temp == G_temp_1:
S_star = S_temp_1
elif G_temp == G_temp_2:
S_star = S_temp_2
else:
out = 0
if G_temp == G_temp_1:
S_star = S_temp_1
issame, isdiff = 0, 0
elif G_temp == G_temp_2:
S_star = S_temp_2
issame, isdiff = 0, 0
elif G_temp == G_temp_3:
S_star = S_temp_3
issame, isdiff = 0, 1
if move == 0:
continue
L = generate.innerswap(L, L.index(a_temp), L.index(b_temp))
pairs = generate.pairsets(L)
change_set = set([a_temp, b_temp])
if out:
TL[TL.index(change_set)] = None
from_diff.remove(change_set)
delete_set = TL.pop(0)
if delete_set in from_same:
from_same.remove(delete_set)
elif delete_set in from_diff:
from_diff.remove(delete_set)
if isdiff or issame:
TL.append(change_set)
if isdiff:
from_diff.append(change_set)
if issame:
from_same.append(change_set)
else:
TL.append(None)
S = S_star
G = G_test
TL, from_same, from_diff = generate.TL_update(TL, from_same, from_diff,
S)
if G < G_star:
G_star = G
l = 0
for s in S:
S_c[l][:] = s[:]
l += 1
L_star = L[:]
return G_star, S_c
def tabu(N,NL,S,L,items,G,lambda1,lambda2): TL = [None]*NL from_same = [] from_diff = [] pairs = generate.pairsets(L) G_star = G L_star = L[:] S_c = [] S_ori = [] for s in S: S_ori.append(s[:]) S_c.append(s[:]) G_test = 0 for k in xrange(N): issame = 0 isdiff = 0 out = 0 s = random.choice(pairs) move = 0 job = list(s) a_L_index = max(L.index(job[0]),L.index(job[1])) b_L_index = min(L.index(job[0]),L.index(job[1])) a = L[a_L_index] b = L[b_L_index] l_a = generate.find_job(a,S) l_b = generate.find_job(b,S) a_idx = S[l_a].index(a) b_idx = S[l_b].index(b) if s not in TL: if l_a == l_b: # a <--> b S_temp = same_S(S,l_a,a_idx,b_idx) G_temp = test_G(items,S_temp,lambda1,lambda2) else: # a -> b's S_temp_1 = diff1_S(S,l_a,l_b,a,b_idx) G_temp_1 = test_G(items,S_temp_1,lambda1,lambda2) # b -> a's S_temp_2 = diff2_S(S,l_a,l_b,b,a_idx) G_temp_2 = test_G(items,S_temp_2,lambda1,lambda2) # a <--> b S_temp_3 = diff3_S(S,l_a,l_b,a,b,a_idx,b_idx) G_temp_3 = test_G(items,S_temp_3,lambda1,lambda2) G_temp = min(G_temp_1,G_temp_2,G_temp_3) elif s in from_same: continue elif s in from_diff: # a -> b's S_temp_1 = diff1_S(S,l_a,l_b,a,b_idx) G_temp_1 = test_G(items,S_temp_1,lambda1,lambda2) # b -> a's S_temp_2 = diff2_S(S,l_a,l_b,b,a_idx) G_temp_2 = test_G(items,S_temp_2,lambda1,lambda2) G_temp = min(G_temp_1,G_temp_2) if G_test == 0 or G_temp < G_test: move = 1 G_test = G_temp a_temp,b_temp = a,b l_a_temp,l_b_temp = l_a,l_b if l_a == l_b: S_star = S_temp issame,isdiff = 1,0 out = 0 else: if s in TL: out = 1 issame,isdiff = 0,0 if G_temp == G_temp_1: S_star = S_temp_1 elif G_temp == G_temp_2: S_star = S_temp_2 else: out = 0 if G_temp == G_temp_1: S_star = S_temp_1 issame,isdiff = 0,0 elif G_temp == G_temp_2: S_star = S_temp_2 issame,isdiff = 0,0 elif G_temp == G_temp_3: S_star = S_temp_3 issame,isdiff = 0,1 if move == 0: continue L = generate.innerswap(L,L.index(a_temp),L.index(b_temp)) pairs = generate.pairsets(L) change_set = set([a_temp,b_temp]) if out: TL[TL.index(change_set)] = None from_diff.remove(change_set) delete_set = TL.pop(0) if delete_set in from_same: from_same.remove(delete_set) elif delete_set in from_diff: from_diff.remove(delete_set) if isdiff or issame: TL.append(change_set) if isdiff: from_diff.append(change_set) if issame: from_same.append(change_set) else: TL.append(None) S = S_star G = G_test TL,from_same,from_diff = generate.TL_update(TL,from_same,from_diff,S) if G < G_star: G_star = G l =0 for s in S: S_c[l][:] = s[:] l += 1 L_star = L[:] return G_star,S_c
