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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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