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Chair of Business Administration and Decision Analysis Friedrich-Schiller-University Jena | Chair of Operations Research Darmstadt University of Technology |
Data set 2 for BPP-1
The data can be downloaded by clicking here.
The data files have extensions ".bpp".
Notation
| parameter | meaning |
| n | number of items |
| wj | weight (size) of item j (j=1,...,n) |
| c | bin capacity |
| m* | minimal number of bins |
Parameter setting
| parameter | values |
| n | 50, 100, 200, 500 |
| c | 1000 |
| avgWeight | c/3, c/5, c/7, c/9 |
| delta | 20%, 50%, 90% |
The parameter avgWeight represents the desired average weight of the items,
while delta specifies the maximal deviation of the single values wj
from avgWeight. For example, the weights are randomly chosen from the interval
[160,240] in case of avgWeight=c/5 and delta=20%. For each of the 48 classes,
10 instances are generated resulting in a total of 480 instances. |
Name conventions:
The instances are given names "NxWyBzRv.BPP" where
- x=1 (for n=50), x=2 (n=100), x=3 (n=200), x=4 (n=500)
- y=1 (for avgWeight=c/3), y=2 (c/5), y=3 (c/7), y=4 (c/9)
- z=1 (for delta= 20%), z=2 (50%), z=3 (90%)
- v=0..9 for the 10 instances of each class
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Instances and minimal number of bins
| Name | m* | Name | m* | Name | m* |
| N1W1B1R0 | 18
| N1W1B1R1 | 18
| N1W1B1R2 | 19 |
| N1W1B1R3 | 18
| N1W1B1R4 | 17
| N1W1B1R5 | 17 |
| N1W1B1R6 | 17
| N1W1B1R7 | 17
| N1W1B1R8 | 18 |
| N1W1B1R9 | 17
| N1W1B2R0 | 17
| N1W1B2R1 | 17 |
| N1W1B2R2 | 17
| N1W1B2R3 | 16
| N1W1B2R4 | 17 |
| N1W1B2R5 | 17
| N1W1B2R6 | 17
| N1W1B2R7 | 18 |
| N1W1B2R8 | 16
| N1W1B2R9 | 18
| N1W1B3R0 | 17 |
| N1W1B3R1 | 17
| N1W1B3R2 | 15
| N1W1B3R3 | 16 |
| N1W1B3R4 | 19
| N1W1B3R5 | 16
| N1W1B3R6 | 16 |
| N1W1B3R7 | 18
| N1W1B3R8 | 16
| N1W1B3R9 | 17 |
| N1W2B1R0 | 11
| N1W2B1R1 | 11
| N1W2B1R2 | 11 |
| N1W2B1R3 | 11
| N1W2B1R4 | 11
| N1W2B1R5 | 10 |
| N1W2B1R6 | 11
| N1W2B1R7 | 11
| N1W2B1R8 | 10 |
| N1W2B1R9 | 11
| N1W2B2R0 | 10
| N1W2B2R1 | 11 |
| N1W2B2R2 | 10
| N1W2B2R3 | 11
| N1W2B2R4 | 10 |
| N1W2B2R5 | 10
| N1W2B2R6 | 10
| N1W2B2R7 | 10 |
| N1W2B2R8 | 11
| N1W2B2R9 | 11
| N1W2B3R0 | 10 |
| N1W2B3R1 | 11
| N1W2B3R2 | 10
| N1W2B3R3 | 11 |
| N1W2B3R4 | 10
| N1W2B3R5 | 10
| N1W2B3R6 | 11 |
| N1W2B3R7 | 10
| N1W2B3R8 | 11
| N1W2B3R9 | 10 |
| N1W3B1R0 | 7
| N1W3B1R1 | 8
| N1W3B1R2 | 7 |
| N1W3B1R3 | 8
| N1W3B1R4 | 8
| N1W3B1R5 | 8 |
| N1W3B1R6 | 8
| N1W3B1R7 | 8
| N1W3B1R8 | 7 |
| N1W3B1R9 | 8
| N1W3B2R0 | 8
| N1W3B2R1 | 8 |
| N1W3B2R2 | 8
| N1W3B2R3 | 7
| N1W3B2R4 | 7 |
| N1W3B2R5 | 7
| N1W3B2R6 | 8
| N1W3B2R7 | 8 |
| N1W3B2R8 | 8
| N1W3B2R9 | 8
| N1W3B3R0 | 7 |
| N1W3B3R1 | 8
| N1W3B3R2 | 7
| N1W3B3R3 | 8 |
| N1W3B3R4 | 8
| N1W3B3R5 | 7
| N1W3B3R6 | 7 |
| N1W3B3R7 | 8
| N1W3B3R8 | 7
| N1W3B3R9 | 7 |
| N1W4B1R0 | 6
| N1W4B1R1 | 6
| N1W4B1R2 | 6 |
| N1W4B1R3 | 6
| N1W4B1R4 | 6
| N1W4B1R5 | 6 |
| N1W4B1R6 | 6
| N1W4B1R7 | 6
| N1W4B1R8 | 6 |
| N1W4B1R9 | 6
| N1W4B2R0 | 6
| N1W4B2R1 | 6 |
| N1W4B2R2 | 6
| N1W4B2R3 | 6
| N1W4B2R4 | 6 |
| N1W4B2R5 | 6
| N1W4B2R6 | 6
| N1W4B2R7 | 6 |
| N1W4B2R8 | 6
| N1W4B2R9 | 6
| N1W4B3R0 | 6 |
| N1W4B3R1 | 6
| N1W4B3R2 | 7
| N1W4B3R3 | 6 |
| N1W4B3R4 | 6
| N1W4B3R5 | 7
| N1W4B3R6 | 6 |
| N1W4B3R7 | 6
| N1W4B3R8 | 6
| N1W4B3R9 | 6 |
| N2W1B1R0 | 34
| N2W1B1R1 | 34
| N2W1B1R2 | 34 |
| N2W1B1R3 | 34
| N2W1B1R4 | 34
| N2W1B1R5 | 34 |
| N2W1B1R6 | 34
| N2W1B1R7 | 34
| N2W1B1R8 | 34 |
| N2W1B1R9 | 34
| N2W1B2R0 | 36
| N2W1B2R1 | 33 |
| N2W1B2R2 | 35
| N2W1B2R3 | 35
| N2W1B2R4 | 33 |
| N2W1B2R5 | 34
| N2W1B2R6 | 35
| N2W1B2R7 | 33 |
| N2W1B2R8 | 34
| N2W1B2R9 | 33
| N2W1B3R0 | 35 |
| N2W1B3R1 | 32
| N2W1B3R2 | 35
| N2W1B3R3 | 33 |
| N2W1B3R4 | 34
| N2W1B3R5 | 34
| N2W1B3R6 | 31 |
| N2W1B3R7 | 30
| N2W1B3R8 | 34
| N2W1B3R9 | 29 |
| N2W2B1R0 | 20
| N2W2B1R1 | 20
| N2W2B1R2 | 21 |
| N2W2B1R3 | 21
| N2W2B1R4 | 21
| N2W2B1R5 | 21 |
| N2W2B1R6 | 21
| N2W2B1R7 | 21
| N2W2B1R8 | 21 |
| N2W2B1R9 | 20
| N2W2B2R0 | 21
| N2W2B2R1 | 21 |
| N2W2B2R2 | 21
| N2W2B2R3 | 22
| N2W2B2R4 | 22 |
| N2W2B2R5 | 20
| N2W2B2R6 | 21
| N2W2B2R7 | 20 |
| N2W2B2R8 | 21
| N2W2B2R9 | 20
| N2W2B3R0 | 21 |
| N2W2B3R1 | 20
| N2W2B3R2 | 21
| N2W2B3R3 | 19 |
| N2W2B3R4 | 21
| N2W2B3R5 | 21
| N2W2B3R6 | 20 |
| N2W2B3R7 | 21
| N2W2B3R8 | 20
| N2W2B3R9 | 20 |
| N2W3B1R0 | 15
| N2W3B1R1 | 15
| N2W3B1R2 | 15 |
| N2W3B1R3 | 14
| N2W3B1R4 | 15
| N2W3B1R5 | 15 |
| N2W3B1R6 | 15
| N2W3B1R7 | 14
| N2W3B1R8 | 15 |
| N2W3B1R9 | 15
| N2W3B2R0 | 15
| N2W3B2R1 | 14 |
| N2W3B2R2 | 15
| N2W3B2R3 | 15
| N2W3B2R4 | 15 |
| N2W3B2R5 | 14
| N2W3B2R6 | 14
| N2W3B2R7 | 15 |
| N2W3B2R8 | 14
| N2W3B2R9 | 15
| N2W3B3R0 | 15 |
| N2W3B3R1 | 13
| N2W3B3R2 | 14
| N2W3B3R3 | 14 |
| N2W3B3R4 | 15
| N2W3B3R5 | 15
| N2W3B3R6 | 15 |
| N2W3B3R7 | 13
| N2W3B3R8 | 15
| N2W3B3R9 | 14 |
| N2W4B1R0 | 12
| N2W4B1R1 | 12
| N2W4B1R2 | 12 |
| N2W4B1R3 | 12
| N2W4B1R4 | 12
| N2W4B1R5 | 12 |
| N2W4B1R6 | 11
| N2W4B1R7 | 12
| N2W4B1R8 | 11 |
| N2W4B1R9 | 11
| N2W4B2R0 | 11
| N2W4B2R1 | 11 |
| N2W4B2R2 | 11
| N2W4B2R3 | 11
| N2W4B2R4 | 12 |
| N2W4B2R5 | 12
| N2W4B2R6 | 12
| N2W4B2R7 | 11 |
| N2W4B2R8 | 12
| N2W4B2R9 | 11
| N2W4B3R0 | 12 |
| N2W4B3R1 | 12
| N2W4B3R2 | 12
| N2W4B3R3 | 11 |
| N2W4B3R4 | 12
| N2W4B3R5 | 10
| N2W4B3R6 | 11 |
| N2W4B3R7 | 11
| N2W4B3R8 | 11
| N2W4B3R9 | 12 |
| N3W1B1R0 | 67
| N3W1B1R1 | 67
| N3W1B1R2 | 67 |
| N3W1B1R3 | 67
| N3W1B1R4 | 67
| N3W1B1R5 | 67 |
| N3W1B1R6 | 68
| N3W1B1R7 | 67
| N3W1B1R8 | 67 |
| N3W1B1R9 | 67
| N3W1B2R0 | 67
| N3W1B2R1 | 68 |
| N3W1B2R2 | 65
| N3W1B2R3 | 65
| N3W1B2R4 | 68 |
| N3W1B2R5 | 65
| N3W1B2R6 | 66
| N3W1B2R7 | 66 |
| N3W1B2R8 | 66
| N3W1B2R9 | 66
| N3W1B3R0 | 68 |
| N3W1B3R1 | 66
| N3W1B3R2 | 67
| N3W1B3R3 | 66 |
| N3W1B3R4 | 68
| N3W1B3R5 | 65
| N3W1B3R6 | 66 |
| N3W1B3R7 | 61
| N3W1B3R8 | 65
| N3W1B3R9 | 70 |
| N3W2B1R0 | 41
| N3W2B1R1 | 41
| N3W2B1R2 | 41 |
| N3W2B1R3 | 41
| N3W2B1R4 | 40
| N3W2B1R5 | 41 |
| N3W2B1R6 | 41
| N3W2B1R7 | 41
| N3W2B1R8 | 40 |
| N3W2B1R9 | 41
| N3W2B2R0 | 40
| N3W2B2R1 | 40 |
| N3W2B2R2 | 39
| N3W2B2R3 | 39
| N3W2B2R4 | 41 |
| N3W2B2R5 | 40
| N3W2B2R6 | 40
| N3W2B2R7 | 40 |
| N3W2B2R8 | 42
| N3W2B2R9 | 40
| N3W2B3R0 | 42 |
| N3W2B3R1 | 40
| N3W2B3R2 | 39
| N3W2B3R3 | 39 |
| N3W2B3R4 | 42
| N3W2B3R5 | 40
| N3W2B3R6 | 40 |
| N3W2B3R7 | 42
| N3W2B3R8 | 39
| N3W2B3R9 | 39 |
| N3W3B1R0 | 28
| N3W3B1R1 | 28
| N3W3B1R2 | 29 |
| N3W3B1R3 | 29
| N3W3B1R4 | 29
| N3W3B1R5 | 29 |
| N3W3B1R6 | 29
| N3W3B1R7 | 29
| N3W3B1R8 | 29 |
| N3W3B1R9 | 29
| N3W3B2R0 | 29
| N3W3B2R1 | 29 |
| N3W3B2R2 | 28
| N3W3B2R3 | 29
| N3W3B2R4 | 30 |
| N3W3B2R5 | 29
| N3W3B2R6 | 29
| N3W3B2R7 | 28 |
| N3W3B2R8 | 28
| N3W3B2R9 | 29
| N3W3B3R0 | 27 |
| N3W3B3R1 | 27
| N3W3B3R2 | 29
| N3W3B3R3 | 29 |
| N3W3B3R4 | 29
| N3W3B3R5 | 28
| N3W3B3R6 | 29 |
| N3W3B3R7 | 28
| N3W3B3R8 | 29
| N3W3B3R9 | 29 |
| N3W4B1R0 | 23
| N3W4B1R1 | 23
| N3W4B1R2 | 23 |
| N3W4B1R3 | 23
| N3W4B1R4 | 23
| N3W4B1R5 | 23 |
| N3W4B1R6 | 23
| N3W4B1R7 | 23
| N3W4B1R8 | 23 |
| N3W4B1R9 | 23
| N3W4B2R0 | 23
| N3W4B2R1 | 22 |
| N3W4B2R2 | 22
| N3W4B2R3 | 22
| N3W4B2R4 | 22 |
| N3W4B2R5 | 23
| N3W4B2R6 | 22
| N3W4B2R7 | 22 |
| N3W4B2R8 | 23
| N3W4B2R9 | 22
| N3W4B3R0 | 24 |
| N3W4B3R1 | 22
| N3W4B3R2 | 23
| N3W4B3R3 | 24 |
| N3W4B3R4 | 23
| N3W4B3R5 | 23
| N3W4B3R6 | 23 |
| N3W4B3R7 | 21
| N3W4B3R8 | 23
| N3W4B3R9 | 23 |
| N4W1B1R0 | 167
| N4W1B1R1 | 167
| N4W1B1R2 | 167 |
| N4W1B1R3 | 167
| N4W1B1R4 | 167
| N4W1B1R5 | 167 |
| N4W1B1R6 | 167
| N4W1B1R7 | 167
| N4W1B1R8 | 167 |
| N4W1B1R9 | 168
| N4W1B2R0 | 164
| N4W1B2R1 | 170 |
| N4W1B2R2 | 164
| N4W1B2R3 | 166
| N4W1B2R4 | 165 |
| N4W1B2R5 | 161
| N4W1B2R6 | 168
| N4W1B2R7 | 168 |
| N4W1B2R8 | 167
| N4W1B2R9 | 169
| N4W1B3R0 | 166 |
| N4W1B3R1 | 171
| N4W1B3R2 | 172
| N4W1B3R3 | 170 |
| N4W1B3R4 | 158
| N4W1B3R5 | 162
| N4W1B3R6 | 169 |
| N4W1B3R7 | 163
| N4W1B3R8 | 170
| N4W1B3R9 | 162 |
| N4W2B1R0 | 101
| N4W2B1R1 | 101
| N4W2B1R2 | 101 |
| N4W2B1R3 | 100
| N4W2B1R4 | 101
| N4W2B1R5 | 103 |
| N4W2B1R6 | 102
| N4W2B1R7 | 101
| N4W2B1R8 | 101 |
| N4W2B1R9 | 101
| N4W2B2R0 | 101
| N4W2B2R1 | 100 |
| N4W2B2R2 | 102
| N4W2B2R3 | 102
| N4W2B2R4 | 100 |
| N4W2B2R5 | 102
| N4W2B2R6 | 103
| N4W2B2R7 | 101 |
| N4W2B2R8 | 100
| N4W2B2R9 | 102
| N4W2B3R0 | 101 |
| N4W2B3R1 | 101
| N4W2B3R2 | 100
| N4W2B3R3 | 100 |
| N4W2B3R4 | 100
| N4W2B3R5 | 101
| N4W2B3R6 | 99 |
| N4W2B3R7 | 101
| N4W2B3R8 | 99
| N4W2B3R9 | 102 |
| N4W3B1R0 | 71
| N4W3B1R1 | 71
| N4W3B1R2 | 71 |
| N4W3B1R3 | 71
| N4W3B1R4 | 71
| N4W3B1R5 | 71 |
| N4W3B1R6 | 71
| N4W3B1R7 | 71
| N4W3B1R8 | 71 |
| N4W3B1R9 | 71
| N4W3B2R0 | 71
| N4W3B2R1 | 71 |
| N4W3B2R2 | 71
| N4W3B2R3 | 71
| N4W3B2R4 | 73 |
| N4W3B2R5 | 72
| N4W3B2R6 | 71
| N4W3B2R7 | 70 |
| N4W3B2R8 | 72
| N4W3B2R9 | 70
| N4W3B3R0 | 72 |
| N4W3B3R1 | 71
| N4W3B3R2 | 72
| N4W3B3R3 | 71 |
| N4W3B3R4 | 73
| N4W3B3R5 | 73
| N4W3B3R6 | 73 |
| N4W3B3R7 | 74
| N4W3B3R8 | 72
| N4W3B3R9 | 71 |
| N4W4B1R0 | 56
| N4W4B1R1 | 56
| N4W4B1R2 | 56 |
| N4W4B1R3 | 56
| N4W4B1R4 | 56
| N4W4B1R5 | 56 |
| N4W4B1R6 | 56
| N4W4B1R7 | 56
| N4W4B1R8 | 56 |
| N4W4B1R9 | 55
| N4W4B2R0 | 55
| N4W4B2R1 | 57 |
| N4W4B2R2 | 57
| N4W4B2R3 | 57
| N4W4B2R4 | 56 |
| N4W4B2R5 | 55
| N4W4B2R6 | 56
| N4W4B2R7 | 57 |
| N4W4B2R8 | 55
| N4W4B2R9 | 56
| N4W4B3R0 | 55 |
| N4W4B3R1 | 54
| N4W4B3R2 | 57
| N4W4B3R3 | 56 |
| N4W4B3R4 | 55
| N4W4B3R5 | 55
| N4W4B3R6 | 58 |
| N4W4B3R7 | 57
| N4W4B3R8 | 57
| N4W4B3R9 | 56 |
Acknowledgment
Originally, 3 instances remained open, i.e., the optimal solutions were not known. In the meantime these instances have been solved by methods of:
- Schwerin, P. and G. Wäscher: The bin-packing problem: A problem generator and some numerical experiments with FFD packing and MTP. International Transactions in Operational Research 4 (1997), pp. 377-389.
- Fleszar, K. and K. Hindi: New heuristics for one-dimensional bin packing. Computers & Operations Research 29 (2002), 821-839.
- Alvim, A.C.F., C.C. Ribeiro, F. Glover, and D.J. Aloise: A hybrid improvement heuristic for the one-dimensional bin packing problem. Working Paper, Catholic University of Rio de Janeiro, Brazil, 2002.
- Schoenfield, J.E.: Fast, exact solution of open bin packing problems without linear programming. Working Paper, 2002.
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Last updated: 09/01/03 by Armin Scholl
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