Gapst of GT problem |
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Type |
Nodes |
Arcs |
Comms |
Lower Bound/
Gurobi/ 120h |
Upper Bound/
Gurobi/ 120h |
CPLEX |
CPLEX SP |
IP SEARCH |
PARLS |
Capacity
Scaling and Neighbor Search750 |
Capacity
Scaling and Neighbor Search750
Best |
|
F_L |
500 |
2000 |
50 |
3496049 |
3742004 |
3882110 |
3726114 |
3823610 |
3722839 |
3703340 |
3684997 |
|
F_L |
500 |
2000 |
100 |
5612839 |
6194571 |
6706100 |
6404834 |
6453880 |
6005177 |
6030640 |
6004733 |
|
F_L |
500 |
2000 |
150 |
6863228 |
7691938 |
8205000 |
7886028 |
8081600 |
7510651 |
7548055 |
7496026 |
|
F_L |
500 |
2000 |
200 |
8165040 |
9183930 |
10181700 |
10376103 |
9828350 |
9338097 |
8986462 |
8980066 |
|
F_L |
500 |
2500 |
50 |
3211475 |
3544207 |
3818440 |
3507652 |
3612030 |
3491664 |
3517483 |
3439095 |
|
F_L |
500 |
2500 |
100 |
5144270 |
5860749 |
6893490 |
6187629 |
6400140 |
5909401 |
5775371 |
5735142 |
|
F_L |
500 |
2500 |
150 |
6818030 |
8447780 |
10022900 |
9520783 |
9089920 |
8138918 |
7997256 |
7895858 |
|
F_L |
500 |
2500 |
200 |
8061178 |
10853172 |
11937300 |
11566824 |
10099200 |
9788913 |
9307056 |
9273254 |
|
F_L |
500 |
3000 |
50 |
2989771 |
3396814 |
3668660 |
3492641 |
3457280 |
3369303 |
3309589 |
3309589 |
|
F_L |
500 |
3000 |
100 |
5012129 |
5834588 |
6692780 |
6187593 |
6015950 |
5773133 |
5620093 |
5564106 |
|
F_L |
500 |
3000 |
150 |
6449785 |
7819641 |
9378030 |
9479082 |
8919720 |
7741294 |
7571267 |
7471066 |
|
F_L |
500 |
3000 |
200 |
7459169 |
9332126 |
11240900 |
11291918 |
10040000 |
9195115 |
8763465 |
8729617 |
|
F_T |
500 |
2000 |
50 |
4217499 |
5109233 |
5038580 |
5100186 |
4949780 |
4892012 |
4891370 |
4851979 |
|
F_T |
500 |
2000 |
100 |
6380988 |
7478374 |
7592260 |
7381313 |
7619670 |
7273916 |
7390874 |
7248610 |
|
F_T |
500 |
2000 |
150 |
7256504 |
8237938 |
8640390 |
9083303 |
8807650 |
8014986 |
8047994 |
7916400 |
|
F_T |
500 |
2000 |
200 |
8852715 |
11187154 |
11858000 |
11213371 |
11893100 |
10617796 |
10540260 |
10452886 |
|
F_T |
500 |
2500 |
50 |
3837741 |
4587008 |
4585510 |
4448739 |
4600200 |
4406080 |
4364086 |
4364086 |
|
F_T |
500 |
2500 |
100 |
5301129 |
6586216 |
6942260 |
6559397 |
6953660 |
6365848 |
6392506 |
6282050 |
|
F_T |
500 |
2500 |
150 |
6120540 |
7036284 |
8094410 |
7978909 |
7571640 |
7037860 |
6878660 |
6878660 |
|
F_T |
500 |
2500 |
200 |
8611901 |
10969518 |
11963100 |
11911900 |
11452900 |
10727261 |
10429633 |
10429633 |
|
F_T |
500 |
3000 |
50 |
3496170 |
4321728 |
4333310 |
4069239 |
4262350 |
4035362 |
4164508 |
4060444 |
|
F_T |
500 |
3000 |
100 |
5408225 |
6880936 |
7164410 |
7046750 |
7186810 |
6634387 |
6565356 |
6518955 |
|
F_T |
500 |
3000 |
150 |
6260998 |
7750637 |
8773910 |
8172602 |
8709390 |
7517445 |
7526917 |
7442878 |
|
F_T |
500 |
3000 |
200 |
7673931 |
9756073 |
11236600 |
11354647 |
10390700 |
9751002 |
9581707 |
9498508 |
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Average |
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5945888 |
7158442 |
7868756 |
7664482 |
7509147 |
6969103 |
6870998 |
6813693 |
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Gaps |
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Type |
Nodes |
Arcs |
Comms |
Lower Bound/
Gurobi/ 120h |
Upper Bound/
Gurobi/ 120h |
CPLEX |
CPLEX SP |
IP SEARCH |
PARLS |
Capacity
Scaling and Neighbor Search750 |
Capacity
Scaling and Neighbor Search750
Best |
|
F_L |
500 |
2000 |
50 |
- |
7.0% |
11.0% |
6.6% |
9.4% |
6.5% |
5.9% |
5.4% |
|
F_L |
500 |
2000 |
100 |
- |
10.4% |
19.5% |
14.1% |
15.0% |
7.0% |
7.4% |
7.0% |
|
F_L |
500 |
2000 |
150 |
- |
12.1% |
19.6% |
14.9% |
17.8% |
9.4% |
10.0% |
9.2% |
|
F_L |
500 |
2000 |
200 |
- |
12.5% |
24.7% |
27.1% |
20.4% |
14.4% |
10.1% |
10.0% |
|
F_L |
500 |
2500 |
50 |
- |
10.4% |
18.9% |
9.2% |
12.5% |
8.7% |
9.5% |
7.1% |
|
F_L |
500 |
2500 |
100 |
- |
13.9% |
34.0% |
20.3% |
24.4% |
14.9% |
12.3% |
11.5% |
|
F_L |
500 |
2500 |
150 |
- |
23.9% |
47.0% |
39.6% |
33.3% |
19.4% |
17.3% |
15.8% |
|
F_L |
500 |
2500 |
200 |
- |
34.6% |
48.1% |
43.5% |
25.3% |
21.4% |
15.5% |
15.0% |
|
F_L |
500 |
3000 |
50 |
- |
13.6% |
22.7% |
16.8% |
15.6% |
12.7% |
10.7% |
10.7% |
|
F_L |
500 |
3000 |
100 |
- |
16.4% |
33.5% |
23.5% |
20.0% |
15.2% |
12.1% |
11.0% |
|
F_L |
500 |
3000 |
150 |
- |
21.2% |
45.4% |
47.0% |
38.3% |
20.0% |
17.4% |
15.8% |
|
F_L |
500 |
3000 |
200 |
- |
25.1% |
50.7% |
51.4% |
34.6% |
23.3% |
17.5% |
17.0% |
|
F_T |
500 |
2000 |
50 |
- |
21.1% |
19.5% |
20.9% |
17.4% |
16.0% |
16.0% |
15.0% |
|
F_T |
500 |
2000 |
100 |
- |
17.2% |
19.0% |
15.7% |
19.4% |
14.0% |
15.8% |
13.6% |
|
F_T |
500 |
2000 |
150 |
- |
13.5% |
19.1% |
25.2% |
21.4% |
10.5% |
10.9% |
9.1% |
|
F_T |
500 |
2000 |
200 |
- |
26.4% |
33.9% |
26.7% |
34.3% |
19.9% |
19.1% |
18.1% |
|
F_T |
500 |
2500 |
50 |
- |
19.5% |
19.5% |
15.9% |
19.9% |
14.8% |
13.7% |
13.7% |
|
F_T |
500 |
2500 |
100 |
- |
24.2% |
31.0% |
23.7% |
31.2% |
20.1% |
20.6% |
18.5% |
|
F_T |
500 |
2500 |
150 |
- |
15.0% |
32.2% |
30.4% |
23.7% |
15.0% |
12.4% |
12.4% |
|
F_T |
500 |
2500 |
200 |
- |
27.4% |
38.9% |
38.3% |
33.0% |
24.6% |
21.1% |
21.1% |
|
F_T |
500 |
3000 |
50 |
- |
23.6% |
23.9% |
16.4% |
21.9% |
15.4% |
19.1% |
16.1% |
|
F_T |
500 |
3000 |
100 |
- |
27.2% |
32.5% |
30.3% |
32.9% |
22.7% |
21.4% |
20.5% |
|
F_T |
500 |
3000 |
150 |
- |
23.8% |
40.1% |
30.5% |
39.1% |
20.1% |
20.2% |
18.9% |
|
F_T |
500 |
3000 |
200 |
- |
27.1% |
46.4% |
48.0% |
35.4% |
27.1% |
24.9% |
23.8% |
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Average Gaps |
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- |
19.5% |
30.5% |
26.5% |
24.8% |
16.4% |
15.0% |
14.0% |
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Computation Times |
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Type |
Nodes |
Arcs |
Comms |
Lower Bound/
Gurobi/ 120h |
Upper Bound/
Gurobi/ 120h |
CPLEX |
CPLEX SP |
IP SEARCH |
PARLS |
Capacity
Scaling and Neighbor Search750 |
Capacity
Scaling and Neighbor Search750
Best |
|
F_L |
500 |
2000 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
6304 |
5545 |
|
F_L |
500 |
2000 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
9041 |
5456 |
|
F_L |
500 |
2000 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
9630 |
19228 |
|
F_L |
500 |
2000 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
12410 |
15962 |
|
F_L |
500 |
2500 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
4335 |
4870 |
|
F_L |
500 |
2500 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
9577 |
13858 |
|
F_L |
500 |
2500 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
17284 |
29721 |
|
F_L |
500 |
2500 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
20788 |
19606 |
|
F_L |
500 |
3000 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
5983 |
5983 |
|
F_L |
500 |
3000 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
10657 |
15333 |
|
F_L |
500 |
3000 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
18574 |
33774 |
|
F_L |
500 |
3000 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
38514 |
29030 |
|
F_T |
500 |
2000 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
7004 |
5539 |
|
F_T |
500 |
2000 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
7095 |
9268 |
|
F_T |
500 |
2000 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
12884 |
15090 |
|
F_T |
500 |
2000 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
12652 |
15776 |
|
F_T |
500 |
2500 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
3673 |
3673 |
|
F_T |
500 |
2500 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
11606 |
12520 |
|
F_T |
500 |
2500 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
24606 |
24606 |
|
F_T |
500 |
2500 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
17873 |
17873 |
|
F_T |
500 |
3000 |
50 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
7073 |
6048 |
|
F_T |
500 |
3000 |
100 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
9686 |
11477 |
|
F_T |
500 |
3000 |
150 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
14562 |
20761 |
|
F_T |
500 |
3000 |
200 |
432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
16129 |
19860 |
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Average |
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432000 |
432000 |
18000 |
18000 |
3600 |
3600 |
12831 |
15036 |
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Lower Bound/
Gurobi7/ 60h |
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N. Katayama by Gurobi Ver7, 2018. |
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Upper Bound/
Gurobi/ 60h |
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N. Katayama by Gurobi Ver7, 2018. |
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CPLEX |
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L.M. Munguía, S. Ahmed, D.A. Bader, G.L.
Nemhauser, V. Goel, Y. Shao, A parallel local search framework for the
Fixed-Charge Multicommodity Network Flow problem, Computers & Operations
Research, 77, 44-57, 2017. |
CPLEX SP |
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L.M. Munguía, S. Ahmed, D.A. Bader, G.L.
Nemhauser, V. Goel, Y. Shao, A parallel local search framework for the
Fixed-Charge Multicommodity Network Flow problem, Computers & Operations
Research, 77, 44-57, 2017. |
IP SEARCH |
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|
M. Hewitt, G. L. Nemhauser, and M. Savelsbergh.
Combining exact and heuristics approaches for the capacitated fixed charge
network flow problem. Journal on Computing, 22, 314-325, 2010. |
PARLS |
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L.M. Munguía, S. Ahmed, D.A. Bader, G.L.
Nemhauser, V. Goel, Y. Shao, A parallel local search framework for the
Fixed-Charge Multicommodity Network Flow problem, Computers & Operations
Research, 77, 44-57, 2017. |
Capacity
Scaling and Neighbor Search |
Naoto Katayama, Working Paper, 2018. |
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