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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/tai75bD.vrp
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VRPTEST 1.0
COMMENT: Converted from tai75b by convert2vt
COMMENT: Best known objective: 1344.64
NAME: tai75b
NUM_DEPOTS: 1
NUM_CAPACITIES: 1
NUM_VISITS: 75
NUM_LOCATIONS: 76
NUM_VEHICLES: 50
CAPACITIES: 1679
DATA_SECTION
DEPOTS
0
DEMAND_SECTION
1 -1066
2 -841
3 -74
4 -687
5 -175
6 -183
7 -124
8 -4
9 -81
10 -56
11 -29
12 -23
13 -4
14 -9
15 -7
16 -181
17 -54
18 -884
19 -822
20 -637
21 -59
22 -140
23 -531
24 -58
25 -15
26 -11
27 -185
28 -159
29 -285
30 -4
31 -10
32 -3
33 -4
34 -11
35 -45
36 -4
37 -225
38 -286
39 -262
40 -4
41 -391
42 -54
43 -518
44 -815
45 -25
46 -29
47 -18
48 -588
49 -68
50 -480
51 -5
52 -16
53 -34
54 -5
55 -9
56 -22
57 -120
58 -152
59 -21
60 -44
61 -676
62 -17
63 -764
64 -13
65 -6
66 -718
67 -52
68 -11
69 -93
70 -398
71 -48
72 -37
73 -3
74 -8
75 -406
LOCATION_COORD_SECTION
0 0 0
1 -2 -5
2 3 -1
3 -2 7
4 3 0
5 7 -3
6 -5 -1
7 -3 0
8 0 -3
9 4 1
10 4 -5
11 -2 -4
12 5 -5
13 -4 1
14 -2 3
15 7 2
16 -13 80
17 -6 88
18 -16 83
19 -14 77
20 -26 88
21 -24 79
22 -25 78
23 -11 80
24 -5 88
25 -21 90
26 -5 82
27 -20 80
28 -6 91
29 -25 89
30 -25 74
31 -8 88
32 -21 74
33 -23 74
34 -5 87
35 -8 91
36 -3 -8
37 -30 15
38 -14 24
39 -12 11
40 -1 7
41 2 14
42 -26 15
43 -36 2
44 -29 7
45 -1 28
46 -7 17
47 -10 31
48 -20 -2
49 -33 20
50 -26 0
51 -13 9
52 -8 12
53 -35 -8
54 -33 23
55 10 -70
56 8 -95
57 -12 -101
58 6 -113
59 -17 -76
60 -23 -102
61 11 -104
62 -19 -96
63 -13 -79
64 -53 -32
65 -78 -2
66 -87 -61
67 -60 -32
68 -6 -12
69 10 -16
70 -7 -11
71 0 3
72 10 2
73 -1 -15
74 1 -3
75 15 -2
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 26
2 26
3 26
4 26
5 26
6 26
7 26
8 26
9 26
10 26
11 26
12 26
13 26
14 26
15 26
16 26
17 26
18 26
19 26
20 26
21 26
22 26
23 26
24 26
25 26
26 26
27 26
28 26
29 26
30 26
31 26
32 26
33 26
34 26
35 26
36 26
37 26
38 26
39 26
40 26
41 26
42 26
43 26
44 26
45 26
46 26
47 26
48 26
49 26
50 26
51 26
52 26
53 26
54 26
55 26
56 26
57 26
58 26
59 26
60 26
61 26
62 26
63 26
64 26
65 26
66 26
67 26
68 26
69 26
70 26
71 26
72 26
73 26
74 26
75 26
DEPOT_TIME_WINDOW_SECTION
0 0 905
COMMENT: TIMESTEP: 18
TIME_AVAIL_SECTION
1 8
2 39
3 59
4 61
5 64
6 68
7 71
8 96
9 98
10 105
11 108
12 111
13 123
14 126
15 153
16 154
17 156
18 164
19 174
20 205
21 218
22 229
23 231
24 231
25 233
26 269
27 278
28 286
29 288
30 298
31 305
32 306
33 313
34 320
35 323
36 356
37 374
38 411
39 415
40 418
41 441
42 448
43 453
44 476
45 481
46 504
47 506
48 511
49 534
50 536
51 549
52 553
53 586
54 591
55 593
56 593
57 599
58 611
59 635
60 641
61 698
62 701
63 771
64 793
65 798
66 810
67 816
68 824
69 849
70 864
71 865
72 889
73 894
74 895
75 903
EOF