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R
k
=27 into the last position of partial solution for Case B
Ta b l e 5 . 6 .
Insertion of node π
j
1
2
3
4
5
6
7
8
9
10
11
j
π
1
22
20
50
10
33
44
41
25
24
27
d
π
j
π
j
+1
d
1
,
22
d
22
,
50
d
20
,
50
d
50
,
10
d
10
,
33
d
33
,
44
d
44
,
41
d
41
,
25
d
25
,
24
d
24
,
27
d
27
,
1
174
7
15
21
17
12
17
20
21
14
22
8
Example C:
u
= 6
v
= 7
Remove
=
d
u
v
π
π
Remove
=
d
7
Remove
=
d
33
,
44
Add
=
d
6
π
π
k
+
d
u
k
π
v
π
π
π
Add
=
d
1
+
d
7
Add
=
d
33
,
27
+
d
27
,
44
F
(
D
6
1
π
π
π
π
)=
F
π
D
+
Add
π
−
Remove
F
(
)=
d
1
,
22
+
d
22
,
20
+
d
20
,
50
+
d
50
,
10
+
d
10
,
33
+
d
33
,
44
+
d
44
,
41
+
d
41
,
25
+
d
25
,
24
+
d
24
,
1
+
d
33
,
27
+
d
27
,
44
−
π
d
33
,
44
F
(
)=
d
1
,
22
+
d
22
,
20
+
d
20
,
50
+
d
50
,
10
+
d
10
,
33
+
d
44
,
41
+
d
41
,
25
+
d
25
,
24
+
d
24
,
1
+
d
33
,
27
+
d
27
,
44
π
k
between an edge
π
v
for Case C
u
,
π
Ta b l e 5 . 7 .
Insertion of node π
j
1
2
3
4
5
6
7
8
9
10
11
j
π
1
22
20
50
10
33
27
44
41
25
24
d
π
j
π
j
+1
d
1
,
22
d
22
,
50
d
20
,
50
d
50
,
10
d
10
,
33
d
33
,
27
d
27
,
44
d
44
,
41
d
41
,
25
d
25
,
24
d
24
,
1
230
7
15
21
17
12
41
33
20
21
14
29
Note that
Case B
can actually be managed by
Case C
, since the tour is cyclic. Note
again that the above insertion approach is somewhat different than the one in Snyder &
Daskin [26], where the cost of an insertion of node
in an edge
π
v
.
R
k
u
,
π
π
5.3.1
Hybridization with Local Search
The hybridization of DE algorithm with local search heuristics is achieved by per-
forming a local search phase on every trial individual generated. The SWAP proce-
dure [26], denoted as
LocalSearchSD
in this chapter, and the
2-opt
heuristic [21] were
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