A Bee Evolutionary Algorithm for Multiobjective Vehicle Routing Problem with Simultaneous Pickup and Delivery
Table 7
The basic information of test example 3 with 42 customers.
Number
X/km
Y/km
Demand/ton
Recycle/ton
Service time
Cen. 0
0
50
50
-
-
-
Dis. 1
1
41
60
2
1
8 am-10 am
Dis. 2
2
39
40
1.5
0.8
10 am-12 am
Dis. 3
3
60
58
3
1.2
8 am-10 am
Dis. 4
4
58
42
2.5
1
8.5 am-10.5 am
Dis. 5
5
18
86
2
0.5
9.5 am-11.5 am
Dis. 6
6
4
12
2
0.8
9 am-12 am
Dis. 7
7
90
6
1.5
0.6
10 am-3 pm
Dis. 8
8
92
86
3
1.5
10 am-3 pm
Dis. 9
9
25
76
2
1
10 am-3 pm
Dis. 10
10
30
40
2
1
10 am-3 pm
Dis. 11
11
72
36
2
0.7
10 am-3 pm
Dis. 12
12
68
80
2
1.2
10 am-3 pm
Dis. 13
13
22
69
2
1.8
10 am-12 am
Dis. 14
14
28
44
1.5
0.9
8.5 am-10.5 am
Dis. 15
15
56
36
2.5
1.1
9.5 am-11.5 am
Dis. 16
16
9
56
1
0.8
9 am-12 am
Dis. 17
17
8
40
1.7
0.8
10 am-3 pm
Dis. 18
18
85
12
1
0.7
10 am-3 pm
Dis. 19
19
88
84
0.9
0.6
10 am-3 pm
Dis. 20
20
40
80
1
0.8
10 am-3 pm
Dis. 21
21
45
13
1.5
1
10 am-3 pm
Dis. 22
22
70
25
1.1
1
10 am-3 pm
Dis. 23
23
69
77
1.2
0.6
10 am-12 am
Dis. 24
24
24
81
1
0.7
8.5 am-10.5 am
Dis. 25
25
50
30
1.2
0.6
9.5 am-11.5 am
Dis. 26
26
48
56
0.9
0.5
9 am-12 am
Dis. 27
27
22
60
1.4
0.6
10 am-3 pm
Dis. 28
28
6
50
0.5
0.2
10 am-3 pm
Dis. 29
29
48
10
0.6
0.4
10 am-3 pm
Dis. 30
30
92
50
0.8
0.4
10 am-3 pm
Rec.1
31
64
62
0
2.5
10 am-3 pm
Rec.2
32
32
80
0
2
10 am-3 pm
Rec.3
33
28
36
0
3
10 am-12 am
Rec.4
34
62
40
0
1.8
8.5 am-10.5 am
Rec.5
35
76
70
0
3.5
9.5 am-11.5 am
Rec.6
36
72
41
0
5
9 am-12 am
Sup.1
37
12
63
0
4
10 am-3 pm
Sup.2
38
21
19
0
4.2
10 am-3 pm
Sup.3
39
63
55
0
4
10 am-3 pm
Sup.4
40
14
70
0
3
10 am-3 pm
Sup.5
41
20
30
0
7
10 am-3 pm
Sup.6
42
80
53
0
4.9
10 am-3 pm
Note: (a) Cen., Dis., Rec., and Sup. are the abbreviations of recycling center, distributors, recycler, and supplier, respectively. (b) “-” means that these data do not need to be set in advance.
