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New approach for Dynamic Vehicle Routing Problem based on Particle Swarm Optimization

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1525 331e1502-861f-0410-8da2-ba01fb791d7f
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khouadjia 2009-03-11 15:14:55 +00:00
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contribution/branches/PSO-DVRP/application/Benchmarks/tai75dD.vrp
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VRPTEST 1.0
COMMENT: Converted from tai75d by convert2vt
COMMENT: Best known objective: 1365.42
NAME: tai75d
NUM_DEPOTS: 1
NUM_CAPACITIES: 1
NUM_VISITS: 75
NUM_LOCATIONS: 76
NUM_VEHICLES: 50
CAPACITIES: 1699
DATA_SECTION
DEPOTS
0
DEMAND_SECTION
1 -643
2 -622
3 -727
4 -50
5 -235
6 -30
7 -5
8 -43
9 -398
10 -81
11 -14
12 -171
13 -209
14 -20
15 -13
16 -93
17 -16
18 -3
19 -391
20 -52
21 -905
22 -56
23 -203
24 -87
25 -1004
26 -114
27 -527
28 -4
29 -28
30 -94
31 -8
32 -139
33 -41
34 -7
35 -490
36 -3
37 -75
38 -45
39 -3
40 -410
41 -44
42 -678
43 -24
44 -10
45 -12
46 -268
47 -7
48 -51
49 -448
50 -459
51 -4
52 -20
53 -413
54 -671
55 -195
56 -16
57 -683
58 -4
59 -43
60 -45
61 -62
62 -14
63 -76
64 -101
65 -846
66 -157
67 -3
68 -13
69 -397
70 -23
71 -87
72 -6
73 -3
74 -3
75 -230
LOCATION_COORD_SECTION
0 0 0
1 87 -18
2 71 -19
3 81 -11
4 80 -17
5 74 -16
6 75 -9
7 76 -6
8 86 -11
9 85 -19
10 83 -19
11 70 -10
12 48 21
13 23 33
14 35 36
15 38 42
16 22 26
17 51 21
18 30 39
19 30 26
20 29 23
21 27 20
22 36 23
23 28 20
24 45 28
25 -61 38
26 -54 50
27 -56 36
28 -57 26
29 -61 40
30 -41 39
31 -61 30
32 -45 46
33 -53 62
34 -34 37
35 -47 33
36 -52 61
37 -33 34
38 -35 62
39 -71 45
40 -22 -10
41 -29 -2
42 -29 3
43 -30 3
44 -33 -11
45 -31 1
46 -31 -10
47 -22 -9
48 -25 -4
49 -32 -12
50 -30 -5
51 -34 2
52 -31 -12
53 -31 -10
54 -27 1
55 -30 -8
56 -31 -6
57 -23 -1
58 -21 -3
59 -33 1
60 59 -61
61 73 -52
62 72 -61
63 76 -63
64 59 -63
65 62 -63
66 59 -54
67 70 -55
68 62 -59
69 60 -62
70 56 19
71 47 15
72 49 12
73 58 9
74 51 13
75 57 19
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 27
2 27
3 27
4 27
5 27
6 27
7 27
8 27
9 27
10 27
11 27
12 27
13 27
14 27
15 27
16 27
17 27
18 27
19 27
20 27
21 27
22 27
23 27
24 27
25 27
26 27
27 27
28 27
29 27
30 27
31 27
32 27
33 27
34 27
35 27
36 27
37 27
38 27
39 27
40 27
41 27
42 27
43 27
44 27
45 27
46 27
47 27
48 27
49 27
50 27
51 27
52 27
53 27
54 27
55 27
56 27
57 27
58 27
59 27
60 27
61 27
62 27
63 27
64 27
65 27
66 27
67 27
68 27
69 27
70 27
71 27
72 27
73 27
74 27
75 27
DEPOT_TIME_WINDOW_SECTION
0 0 789
COMMENT: TIMESTEP: 15
TIME_AVAIL_SECTION
1 5
2 14
3 20
4 21
5 23
6 37
7 63
8 92
9 101
10 142
11 156
12 177
13 190
14 239
15 245
16 247
17 247
18 254
19 274
20 294
21 299
22 306
23 312
24 322
25 341
26 371
27 373
28 374
29 395
30 398
31 403
32 408
33 418
34 429
35 444
36 450
37 462
38 466
39 479
40 490
41 496
42 498
43 515
44 518
45 521
46 541
47 555
48 563
49 571
50 572
51 573
52 576
53 584
54 594
55 610
56 611
57 629
58 629
59 629
60 646
61 650
62 650
63 674
64 675
65 682
66 698
67 707
68 713
69 723
70 724
71 733
72 745
73 752
74 759
75 787
EOF