paradiseo/contribution/branches/PSO-DVRP/MultiSwarm/application/Benchmarks/tai75a.vrp
khouadjia 65404ba20a New approach for Dynamic Vehicle Routing Problem based on Particle Swarm Optimization
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1525 331e1502-861f-0410-8da2-ba01fb791d7f
2009-03-11 15:14:55 +00:00

400 lines
4.1 KiB
Text
Executable file

VRPTEST 1.0
COMMENT: Converted from tai75a by convert2vt
COMMENT: Best known objective: 1618.36
NAME: tai75a
NUM_DEPOTS: 1
NUM_CAPACITIES: 1
NUM_VISITS: 75
NUM_LOCATIONS: 76
NUM_VEHICLES: 50
CAPACITIES: 1445
DATA_SECTION
DEPOTS
0
DEMAND_SECTION
1 50
2 50
3 170
4 297
5 9
6 630
7 179
8 179
9 216
10 4
11 9
12 154
13 117
14 63
15 436
16 905
17 14
18 3
19 10
20 166
21 211
22 8
23 25
24 139
25 213
26 758
27 429
28 5
29 136
30 501
31 93
32 21
33 169
34 22
35 3
36 271
37 433
38 3
39 1079
40 233
41 11
42 10
43 78
44 63
45 4
46 59
47 8
48 34
49 234
50 30
51 40
52 123
53 7
54 33
55 369
56 11
57 23
58 208
59 4
60 8
61 36
62 504
63 16
64 574
65 19
66 235
67 445
68 6
69 43
70 210
71 268
72 410
73 124
74 11
75 1085
LOCATION_COORD_SECTION
0 0 0
1 35 -56
2 72 -58
3 70 -66
4 45 -40
5 39 -40
6 60 -50
7 42 -59
8 31 -46
9 44 -58
10 45 -67
11 69 -46
12 24 0
13 12 -4
14 1 -21
15 3 29
16 19 -13
17 13 -14
18 25 11
19 24 23
20 3 7
21 23 19
22 2 -7
23 5 23
24 32 5
25 14 25
26 -16 -4
27 24 17
28 0 -7
29 -74 -22
30 -64 -24
31 -71 -19
32 -91 -15
33 -65 -14
34 -91 -26
35 -76 -7
36 -66 -4
37 -87 -10
38 -73 -8
39 -81 -1
40 -82 -24
41 -87 -25
42 -76 -25
43 -75 -6
44 -70 -3
45 -64 -22
46 -66 -5
47 -72 -10
48 -89 -3
49 -86 -3
50 -57 -9
51 -22 -36
52 -44 19
53 -21 6
54 -49 -4
55 -68 -7
56 -42 11
57 -69 3
58 -49 9
59 -68 -19
60 -57 -7
61 -61 -34
62 -36 16
63 -56 2
64 -67 0
65 -17 -14
66 -17 -20
67 -28 -26
68 -70 -21
69 -46 -14
70 -52 36
71 -33 62
72 -53 49
73 -39 59
74 33 73
75 38 88
DEPOT_LOCATION_SECTION
0 0
VISIT_LOCATION_SECTION
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
10 10
11 11
12 12
13 13
14 14
15 15
16 16
17 17
18 18
19 19
20 20
21 21
22 22
23 23
24 24
25 25
26 26
27 27
28 28
29 29
30 30
31 31
32 32
33 33
34 34
35 35
36 36
37 37
38 38
39 39
40 40
41 41
42 42
43 43
44 44
45 45
46 46
47 47
48 48
49 49
50 50
51 51
52 52
53 53
54 54
55 55
56 56
57 57
58 58
59 59
60 60
61 61
62 62
63 63
64 64
65 65
66 66
67 67
68 68
69 69
70 70
71 71
72 72
73 73
74 74
75 75
DURATION_SECTION
1 32
2 32
3 32
4 32
5 32
6 32
7 32
8 32
9 32
10 32
11 32
12 32
13 32
14 32
15 32
16 32
17 32
18 32
19 32
20 32
21 32
22 32
23 32
24 32
25 32
26 32
27 32
28 32
29 32
30 32
31 32
32 32
33 32
34 32
35 32
36 32
37 32
38 32
39 32
40 32
41 32
42 32
43 32
44 32
45 32
46 32
47 32
48 32
49 32
50 32
51 32
52 32
53 32
54 32
55 32
56 32
57 32
58 32
59 32
60 32
61 32
62 32
63 32
64 32
65 32
66 32
67 32
68 32
69 32
70 32
71 32
72 32
73 32
74 32
75 32
DEPOT_TIME_WINDOW_SECTION
0 0 769
COMMENT: TIMESTEP: 15
TIME_AVAIL_SECTION
1 49
2 82
3 82
4 114
5 117
6 119
7 127
8 130
9 136
10 138
11 151
12 155
13 172
14 179
15 184
16 188
17 197
18 206
19 215
20 250
21 255
22 262
23 274
24 287
25 307
26 317
27 324
28 332
29 351
30 366
31 372
32 375
33 376
34 376
35 382
36 389
37 392
38 402
39 403
40 449
41 453
42 454
43 460
44 474
45 477
46 490
47 497
48 524
49 526
50 529
51 529
52 557
53 559
54 565
55 576
56 586
57 603
58 604
59 616
60 627
61 631
62 640
63 640
64 677
65 677
66 678
67 691
68 702
69 706
70 723
71 723
72 732
73 747
74 766
75 768
EOF