Event 2

Teams

Teams Participating in Challenge 3 Event 2
Event 2 Team Name Lead Affiliation Team Lead Members          
ARPA-e Benchmark Los Alamos National Laboratory # Carleton Coffrin Robert Parker          
Argonauts Argonne National Laboratory Kibaek Kim Michel Schanen Anirudh Subramanyam Weiqi Zhang Francois Pacaud    
Artelys_Columbia Artelys $ Richard A Waltz Daniel Bienstock          
Electric-Stampede University of Texas - Austin $ Javad Mohammadi Kyri Baker Constance Crozier Hussein Sharadga      
Gatorgar University of Florida $ Yongpei Guan Lei Fan Mingze Li Weihang Ren      
GOT-BSI-OPF Global Optimal Technology, Inc.  $ Hsiao-Dong Chiang Pat Causgrove Bin Wang Lin Zeng      
LLGoMax Lawrence Livermore National Laboratory $ Ignacio Aravena Solis Rod Frowd Shmuel Oren Alex Papalexopoulos      
PACE IncSys  $ Robin Podmore Roozbeh Khodadadeh Chris Mosier        
PGWOpt University of Pittsburgh $ Masoud Barati Nina Fatehi Sattiago Grijalva Masoud H. Nazari Samuel Talkington Jorge Fernandez  
quasiGrad individual Samuel Chevalier            
The Blackouts University of Tennessee: Knoxville $ James Ostrowski Marzieh Bakhshi Christopher Ginart William Hart Bernard Knueven Jonathan Schrock Jean-Paul Watson
TIM-GO Massachusetts Institute of Technology $ Xu Sun Matthew Brun Xin Chen Dirk Lauinger Thomas Lee    
YongOptimization Mississippi State University $ Yong Fu Lin Gong Yehong Peng Fasiha Zainab      
 

# not competing for prizes
$ recipient of FOA award

The submission window was April 13-14, 2023.

Scoring

Division 1, 2, and 3 rankings will be determined based upon the total score (Market Surplus, zms in the Formulation Document). Only zms values that are positive for feasible solutions will be counted. All other results will be treated as 0.0. 

Division 4, 5, and 6 rankings are based on the count of top scores for each scenario in Divisions 1, 2, and 3.

See the Scoring document for details. There are no prizes for Event 2.

Leaderboard Rankings

Ensemble is the set of best scores for the grouping. The Sum of all scores column is provided for comparison. In the prize events are 6 categories (divisions).

These scores were posted April 24, 2023

Scores for all 197 Event 2 Scenarios
rank Team Division 1 Score     rank Team Division 2 Score rank Team Division 3 Score rank Team Total Score
  Ensemble 12,687,332,710.75   Ensemble 92,830,971,857.97   Ensemble 371,232,358,123.83   Ensemble 476,750,662,692.56
                                   1 Electric-Stampede 11,949,901,466.60                       1 Electric-Stampede 76,410,898,045.74   ARPA-e Benchmark 338,747,805,484.80   ARPA-e Benchmark 384,812,047,770.19
                                   2 YongOptimization 3,560,160,873.73                       2 TIM-GO 52,663,205,900.14                                     1 TIM-GO 242,986,800,293.38                      1 Electric-Stampede 305,885,098,314.87
                                   3 GOT-BSI-OPF 3,461,817,677.75   ARPA-e Benchmark 44,289,137,442.94                                     2 Electric-Stampede 217,524,298,802.52                      2 TIM-GO 298,109,028,956.48
                                   4 TIM-GO 2,459,022,762.96                       3 GOT-BSI-OPF 41,535,183,195.48                                     3 Artelys_Columbia 131,089,016,643.45                      3 GOT-BSI-OPF 168,382,181,730.55
                                   5 Artelys_Columbia 2,250,015,517.25                       4 Artelys_Columbia 33,977,963,255.71                                     4 GOT-BSI-OPF 123,385,180,857.31                      4 Artelys_Columbia 167,316,995,416.41
  ARPA-e Benchmark 1,775,104,842.45                       5 YongOptimization 27,352,933,235.99                                     5 YongOptimization 43,561,335,060.26                      5 YongOptimization 74,474,429,169.98
                                   6 The Blackouts 391,121,243.89                       6 The Blackouts 4,380,713,543.77                                     6 The Blackouts 10,133,643,231.86                      6 The Blackouts 14,905,478,019.53
                                   7 Argonauts 157,718,848.55                       7 Gatorgar 1,206,173,450.65                                     7 Gatorgar 4,165,101,809.08                      7 Gatorgar 5,371,275,259.74
                                   8 LLGoMax 33,050,838.48                       8 Argonauts 242,451,538.63                                     8 LLGoMax 959,285,830.86                      8 LLGoMax 992,336,669.34
  Gatorgar 0.00   LLGoMax 0   Argonauts 0                      9 Argonauts 400,170,387.19
  PACE 0.00   PACE 0   PACE 0   PACE 0.00
  PGWOpt 0.00   PGWOpt 0   PGWOpt 0   PGWOpt 0.00
  quasiGrad 0.00   quasiGrad 0   quasiGrad 0   quasiGrad 0.00

 

Number of best scores for 186 Event 2 Scenarios NOT involving the Benchmark
Rank Team Division 4 Rank Team Division 5 Rank Team Division 6 Rank Team All Best Scores
                1 Electric-Stampede 15                1 TIM-GO 29               1 TIM-GO 41             1 TIM-GO 80
                2 YongOptimization 14                2 YongOptimization 19               2 Artelys_Columbia 9             2 YongOptimization 36
                3 TIM-GO 10                3 Artelys_Columbia 12               3 The Blackouts 5             3 Electric-Stampede 25
                4 GOT-BSI-OPF 4                4 Electric-Stampede 7               4 Electric-Stampede 3             4 Artelys_Columbia 23
                5 Artelys_Columbia 2                5 GOT-BSI-OPF 6               4 YongOptimization 3             5 GOT-BSI-OPF 11
  Argonauts 0                5 The Blackouts 6               6 GOT-BSI-OPF 1             5 The Blackouts 11
  Gatorgar 0   Argonauts 0   Argonauts 0   Argonauts 0
  LLGoMax 0   Gatorgar 0   Gatorgar 0   Gatorgar 0
  PACE 0   LLGoMax 0   LLGoMax 0   LLGoMax 0
  PGWOpt 0   PACE 0   PACE 0   PACE 0
  quasiGrad 0   PGWOpt 0   PGWOpt 0   PGWOpt 0
  The Blackouts 0   quasiGrad 0   quasiGrad 0   quasiGrad 0

Note that the number of scenarios with best scores (186) is less than the number of scenarios evaluated (197). This is because there were 3 scenarios where only the Benchmark reported feasible positive zms values and 8 scenarios where no team, including the Benchmark, reported feasible positive zms values. The Benchmark yields a positive zms for the 8 (7 for D1 and 4 for D2) only when it is allowed to exceed the time limit. The results for these cases (in bold font) are reported in the table of 5 best teams below. As a matter of record, the Benchmark had 6 of the best scores in Division 4, 29 in Division 5, 26 in Division 6 and 61 over all.

Statistics

Other rankings are possible. In this next one, a scaled score is the scenario score as in Divisions 1-3, but divided by the best score for that scenario before summing. This gives more weight to the smaller problems. The ensemble score becomes the number of scenarios being summed.

Scaled Scores
rank Team Div. 1 Scaled Score rank Team Div. 2 Scaled Score rank Team Div. 3 Scaled Score rank Team Total Scaled Score
                                 1 Electric-Stampede 39.25   ARPA-e Benchmark 65.23   ARPA-e Benchmark 62.68   ARPA-e Benchmark 145.90
                                 2 YongOptimization 32.86                    1 TIM-GO 64.58                                  1 TIM-GO 55.51                                       1 Electric-Stampede 142.97
                                 3 GOT-BSI-OPF 28.30                     2 Electric-Stampede 62.69                                  2 Artelys_Columbia 51.32                                       2 TIM-GO 141.99
                                 4 TIM-GO 21.89                    3 GOT-BSI-OPF 62.47                                  3 GOT-BSI-OPF 47.28                                       3 GOT-BSI-OPF 138.05
                                 5 Artelys_Columbia 20.79                    4 Artelys_Columbia 54.13                                  4 Electric-Stampede 41.03                                       4 Artelys_Columbia 126.24
  ARPA-e Benchmark 18.00                    5 YongOptimization 41.76                                  5 YongOptimization 18.33                                       5 YongOptimization 92.95
                                 6 The Blackouts 8.81                    6 The Blackouts 10.30                                  6 The Blackouts 8.39                                       6 The Blackouts 27.49
                                 7 Argonauts 2.97                    7 Gatorgar 5.21                                  7 Gatorgar 5.31                                       7 Gatorgar 10.52
                                 8 LLGoMax 0.62                    8 Argonauts 0.92                                  8 LLGoMax 1.14                                             8 Argonauts 3.89
  Gatorgar 0   LLGoMax 0   Argonauts 0                                       9 LLGoMax 1.76
  PACE 0   PACE 0   PACE 0   PACE 0
  PGWOpt 0   PGWOpt 0   PGWOpt 0   PGWOpt 0
  quasiGrad 0   quasiGrad 0   quasiGrad 0   quasiGrad 0

Another interesting statistic is the number of feasible scores a team found. Here we count negative feasible scores as well as positive.

Number of Feasible Scores
rank      Team Div. 1 Feasible rank    Team Div. 2 Feasible rank      Team Div. 3 Feasible rank     Team Total Feasible
           1 Electric-Stampede 47        1 GOT-BSI-OPF 77   ARPA-e Benchmark 63        1 Electric-Stampede 171
           2 YongOptimization 36        2 Electric-Stampede 73           1 TIM-GO 56        2 GOT-BSI-OPF 167
           3 GOT-BSI-OPF 35   ARPA-e Benchmark 66           2 GOT-BSI-OPF 55   ARPA-e Benchmark 147
           4 LLGoMax 32        3 quasiGrad 65           3 Artelys_Columbia 52        3 TIM-GO 143
           5 TIM-GO 22        3 TIM-GO 65           3 LLGoMax 52        4 LLGoMax 138
           6 Artelys_Columbia 21        5 Artelys_Columbia 55           5 Electric-Stampede 51          5 Artelys_Columbia 128
           7 The Blackouts 20        6 LLGoMax 54           6 quasiGrad 50        6 quasiGrad 124
  ARPA-e Benchmark 18        7 The Blackouts 52           7 The Blackouts 37        7 The Blackouts 109
           8 quasiGrad 9        8 YongOptimization 44           8 YongOptimization 22        8 YongOptimization 102
           9 Gatorgar 5        9 Gatorgar 14           9 Gatorgar 18        9 Gatorgar 37
         10 Argonauts 3      10 Argonauts 1   Argonauts 0      10 Argonauts 4
  PACE 0      10 PACE 1   PACE 0       11 PACE 1
  PGWOpt 0   PGWOpt 0   PGWOpt 0   PGWOpt 0

Here is the list of scenarios used by Event 2 and the scores and times for the 5 best performers on each scenario. There were 9 scenarios where no team produces a positive zms within the time limit (the Benchmark produced results only by exceeding the time limits) and others where a positive value was produced by only one team. We are leaving all of the scenarios in the Sandbox in preparation for Events 3 and 4. The 6708-bus system is taken from industry and, while available in the Sandbox, only the zms will be made available after a run and it will not be included in any downloadable file.

Results for 5 Best Teams on Each Scenario (including the Benchmark)
model scenario switching
allowed		 best team best score sec. used
by best		 2nd best team 2nd best score sec. used
by 2nd		 3rd best team 3rd best score sec. used
by 3rd		 4th best team 4th best score sec. used
by 4th		 5th best team 5th best score sec. used
by 5th
C3E2N00073D2 21 1 ARPA-e Benchmark 170,522,333.75 150 TIM-GO 170,151,081.46 59 Artelys_Columbia 169,204,196.97 116 Electric-Stampede 168,821,879.68 84 GOT-BSI-OPF 168,641,937.19 59
C3E2N00073D2 22 1 The Blackouts 166,521,498.73 1,218 Electric-Stampede 166,343,483.95 95 ARPA-e Benchmark 166,173,150.89 162 TIM-GO 165,874,639.15 64 Artelys_Columbia 164,954,106.59 67
C3E2N00073D2 23 1 The Blackouts 169,472,500.55 3,393 TIM-GO 169,196,122.36 64 ARPA-e Benchmark 169,159,254.07 151 Electric-Stampede 168,048,935.04 142 GOT-BSI-OPF 166,541,556.08 112
C3E2N00073D2 31 1 The Blackouts 272,539,055.65 1,787 ARPA-e Benchmark 272,513,490.60 161 Electric-Stampede 272,424,319.63 51 TIM-GO 272,242,337.76 65 Artelys_Columbia 270,760,341.77 65
C3E2N00073D2 32 1 The Blackouts 264,724,740.74 1,019 ARPA-e Benchmark 264,422,581.68 159 TIM-GO 264,095,481.53 61 Artelys_Columbia 263,174,149.94 185 Electric-Stampede 262,652,875.13 63
C3E2N00073D2 33 1 The Blackouts 269,689,090.46 2,120 ARPA-e Benchmark 269,419,375.97 151 TIM-GO 269,257,455.22 58 Artelys_Columbia 268,027,778.29 113 Electric-Stampede 267,937,863.71 130
C3E2N00073D2 33 0 The Blackouts 269,688,743.83 5,635 ARPA-e Benchmark 269,419,375.97 154 TIM-GO 269,257,455.22 58 Artelys_Columbia 268,027,778.29 52 Electric-Stampede 267,937,863.71 123
C3E2N00073D3 21 1 ARPA-e Benchmark 590,090,391.13 153 TIM-GO 589,613,118.22 63 Electric-Stampede 585,842,968.82 65 Artelys_Columbia 583,529,592.95 83 GOT-BSI-OPF 583,340,493.38 42
C3E2N00073D3 22 1 The Blackouts 564,070,176.78 2,157 ARPA-e Benchmark 562,592,333.64 161 TIM-GO 562,411,389.13 69 Electric-Stampede 559,686,372.12 92 Artelys_Columbia 556,872,586.82 80
C3E2N00073D3 23 1 The Blackouts 569,307,902.52 4,635 ARPA-e Benchmark 568,162,713.66 147 TIM-GO 567,682,255.88 68 Electric-Stampede 567,393,777.28 150 Artelys_Columbia 559,978,863.21 58
C3E2N00073D3 31 1 The Blackouts 941,227,445.26 866 ARPA-e Benchmark 940,710,863.24 161 TIM-GO 940,180,011.22 57 Artelys_Columbia 933,828,511.85 46 GOT-BSI-OPF 933,639,332.60 54
C3E2N00073D3 32 1 The Blackouts 895,280,270.71 2,941 ARPA-e Benchmark 894,334,960.22 156 TIM-GO 893,760,379.49 60 Electric-Stampede 893,041,235.03 212 Artelys_Columbia 888,079,914.15 101
C3E2N00073D3 33 1 The Blackouts 904,997,623.41 2,067 ARPA-e Benchmark 904,287,313.90 152 TIM-GO 903,508,620.83 58 Electric-Stampede 902,812,473.16 117 Artelys_Columbia 895,288,162.15 61
C3E2N00073D3 33 0 ARPA-e Benchmark 904,287,313.90 147 TIM-GO 903,508,620.83 58 Electric-Stampede 902,812,473.16 51 GOT-BSI-OPF 895,422,105.87 46 Artelys_Columbia 895,288,162.15 72
C3E2N00617D1 1 1 Artelys_Columbia 46,104,200.28 590 YongOptimization 46,103,707.63 25 ARPA-e Benchmark 46,103,427.87 248 The Blackouts 46,099,555.94 629 Electric-Stampede 46,090,604.64 167
C3E2N00617D1 13 1 Artelys_Columbia 32,261,110.60 359 ARPA-e Benchmark 32,183,993.80 201 YongOptimization 32,130,793.79 11 TIM-GO 31,905,950.55 328 Electric-Stampede 31,461,944.12 120
C3E2N00617D1 21 1 TIM-GO 36,309,087.26 312 The Blackouts 36,308,747.54 623 ARPA-e Benchmark 36,308,374.07 212 Artelys_Columbia 36,307,755.23 350 GOT-BSI-OPF 36,297,966.49 64
C3E2N00617D1 22 1 TIM-GO 34,230,692.18 298 ARPA-e Benchmark 34,229,846.96 208 Artelys_Columbia 34,229,339.48 470 GOT-BSI-OPF 34,219,083.84 57 Electric-Stampede 34,210,372.72 169
C3E2N00617D1 23 1 TIM-GO 32,586,012.63 264 ARPA-e Benchmark 32,585,115.49 211 Artelys_Columbia 32,584,610.65 399 GOT-BSI-OPF 32,574,216.46 112 Electric-Stampede 32,565,821.10 162
C3E2N00617D1 31 1 TIM-GO 58,204,606.66 239 The Blackouts 58,204,281.15 618 ARPA-e Benchmark 58,203,514.00 209 Artelys_Columbia 58,203,325.06 576 GOT-BSI-OPF 58,193,484.00 54
C3E2N00617D1 32 1 TIM-GO 54,828,712.12 267 ARPA-e Benchmark 54,827,536.35 207 Artelys_Columbia 54,827,370.62 563 GOT-BSI-OPF 54,817,097.79 93 Electric-Stampede 54,808,448.71 142
C3E2N00617D1 33 1 TIM-GO 52,175,657.86 237 ARPA-e Benchmark 52,174,545.54 205 Artelys_Columbia 52,174,264.33 533 GOT-BSI-OPF 52,163,860.15 76 Electric-Stampede 52,155,596.64 143
C3E2N00617D1 33 0 TIM-GO 52,175,657.86 252 ARPA-e Benchmark 52,174,545.54 233 Artelys_Columbia 52,174,264.33 565 GOT-BSI-OPF 52,163,860.15 53 Electric-Stampede 52,155,596.64 112
C3E2N00617D2 1 1 YongOptimization 276,921,569.63 117 Artelys_Columbia 276,920,235.86 1,260 The Blackouts 276,919,438.19 4,954 ARPA-e Benchmark 276,914,930.01 409 Electric-Stampede 276,844,813.32 471
C3E2N00617D2 11 1 TIM-GO 195,238,978.64 877 Artelys_Columbia 195,100,094.31 229 GOT-BSI-OPF 194,961,889.67 123 ARPA-e Benchmark 194,860,542.66 314 YongOptimization 194,181,940.48 52
C3E2N00617D2 12 1 Artelys_Columbia 179,174,133.56 255 TIM-GO 179,154,572.95 1,159 GOT-BSI-OPF 178,820,914.21 716 ARPA-e Benchmark 178,819,578.37 323 YongOptimization 177,921,355.95 40
C3E2N00617D2 13 1 Artelys_Columbia 175,492,113.01 269 TIM-GO 175,417,532.66 924 GOT-BSI-OPF 175,094,412.78 123 ARPA-e Benchmark 175,033,553.17 323 YongOptimization 174,339,460.52 32
C3E2N00617D2 21 1 TIM-GO 196,468,728.34 710 GOT-BSI-OPF 196,330,094.21 165 Artelys_Columbia 196,285,488.64 485 Electric-Stampede 196,218,870.98 628 ARPA-e Benchmark 195,970,208.01 367
C3E2N00617D2 22 1 TIM-GO 180,094,333.80 876 Artelys_Columbia 180,073,914.06 815 GOT-BSI-OPF 179,879,020.72 172 Electric-Stampede 179,741,036.41 581 ARPA-e Benchmark 178,761,208.75 378
C3E2N00617D2 23 1 Artelys_Columbia 176,354,571.84 422 TIM-GO 176,326,913.13 777 GOT-BSI-OPF 176,091,162.40 179 Electric-Stampede 175,960,201.67 651 ARPA-e Benchmark 174,672,646.25 344
C3E2N00617D2 31 1 TIM-GO 313,016,874.62 692 GOT-BSI-OPF 312,878,243.54 180 Artelys_Columbia 312,833,695.75 479 Electric-Stampede 312,767,901.57 835 ARPA-e Benchmark 312,518,297.43 361
C3E2N00617D2 32 1 TIM-GO 286,273,510.69 836 Artelys_Columbia 286,252,804.39 705 GOT-BSI-OPF 286,058,247.84 190 Electric-Stampede 285,920,952.76 643 YongOptimization 285,546,393.94 98
C3E2N00617D2 33 1 Artelys_Columbia 280,224,456.61 1,153 TIM-GO 280,194,619.11 760 GOT-BSI-OPF 279,958,223.81 796 Electric-Stampede 279,828,696.47 6,463 YongOptimization 279,540,165.80 112
C3E2N00617D2 33 0 Artelys_Columbia 280,224,457.08 1,561 TIM-GO 280,194,625.08 755 GOT-BSI-OPF 279,958,223.81 220 Electric-Stampede 279,828,696.47 6,444 YongOptimization 279,540,165.80 87
C3E2N00617D3 1 1 YongOptimization 969,124,816.01 75 Artelys_Columbia 969,120,432.89 1,045 The Blackouts 969,118,424.42 3,658 ARPA-e Benchmark 969,074,552.79 422 Electric-Stampede 968,856,292.14 448
C3E2N00617D3 11 1 TIM-GO 678,175,040.48 749 Artelys_Columbia 677,709,879.03 246 GOT-BSI-OPF 677,127,920.44 796 ARPA-e Benchmark 676,369,151.53 315 YongOptimization 674,151,266.40 32
C3E2N00617D3 12 1 TIM-GO 598,131,109.92 993 Artelys_Columbia 597,986,487.91 257 GOT-BSI-OPF 597,372,326.76 125 ARPA-e Benchmark 596,776,370.11 335 Electric-Stampede 594,415,252.07 329
C3E2N00617D3 22 1 TIM-GO 601,024,007.10 744 Artelys_Columbia 600,836,207.86 619 GOT-BSI-OPF 600,299,913.42 1,320 Electric-Stampede 599,837,124.58 764 ARPA-e Benchmark 596,268,937.12 336
C3E2N00617D3 31 1 TIM-GO 1,086,957,072.95 634 GOT-BSI-OPF 1,086,387,264.45 158 Artelys_Columbia 1,086,296,006.14 485 Electric-Stampede 1,086,021,550.96 440 ARPA-e Benchmark 1,083,156,723.29 332
C3E2N00617D3 32 1 TIM-GO 955,069,634.70 744 Artelys_Columbia 954,883,628.53 393 GOT-BSI-OPF 954,345,625.06 164 Electric-Stampede 953,885,279.21 2,183 ARPA-e Benchmark 950,280,592.73 358
C3E2N00617D3 33 1 TIM-GO 965,571,945.78 726 Artelys_Columbia 965,543,640.42 531 GOT-BSI-OPF 964,885,769.58 161 Electric-Stampede 964,422,367.49 466 ARPA-e Benchmark 954,983,924.28 389
C3E2N00617D3 33 0 TIM-GO 965,571,945.78 670 Artelys_Columbia 965,543,640.42 527 GOT-BSI-OPF 964,885,769.58 173 Electric-Stampede 964,422,367.49 625 ARPA-e Benchmark 954,983,924.28 376
C3E2N01576D1 21 1 ARPA-e Benchmark 112,047,430.65 460 YongOptimization 111,901,066.95 52 TIM-GO 111,625,154.23 386 GOT-BSI-OPF 110,734,083.22 514 Electric-Stampede 110,663,380.29 313
C3E2N01576D1 22 1 ARPA-e Benchmark 107,734,787.08 460 YongOptimization 107,716,909.46 53 TIM-GO 107,350,849.52 392 GOT-BSI-OPF 106,360,323.38 291 Electric-Stampede 106,282,870.37 257
C3E2N01576D1 23 1 ARPA-e Benchmark 126,980,331.65 476 YongOptimization 126,976,539.58 50 TIM-GO 126,587,980.82 363 GOT-BSI-OPF 125,596,166.87 311 Electric-Stampede 125,524,516.26 308
C3E2N01576D1 31 1 ARPA-e Benchmark 176,459,416.21 406 YongOptimization 176,298,315.16 57 TIM-GO 176,032,210.63 368 GOT-BSI-OPF 175,146,129.74 439 Electric-Stampede 175,074,736.00 254
C3E2N01576D1 32 1 YongOptimization 169,622,120.77 59 ARPA-e Benchmark 169,609,825.18 457 TIM-GO 169,247,114.26 378 GOT-BSI-OPF 168,262,148.99 309 Electric-Stampede 168,184,267.80 273
C3E2N01576D1 33 1 YongOptimization 200,363,943.36 67 ARPA-e Benchmark 200,343,717.97 460 TIM-GO 199,967,028.53 393 GOT-BSI-OPF 198,983,559.33 324 Electric-Stampede 198,911,730.90 263
C3E2N01576D1 33 0 ARPA-e Benchmark 200,342,466.36 460 TIM-GO 199,967,081.10 364 GOT-BSI-OPF 198,983,559.33 350 Electric-Stampede 198,911,730.90 280 Artelys_Columbia 198,509,904.97 616
C3E2N01576D2 2 1 ARPA-e Benchmark 608,818,491.06 1,105 YongOptimization 608,791,531.23 147 TIM-GO 607,244,427.50 4,177 Artelys_Columbia 600,440,864.74 6,770 GOT-BSI-OPF 600,436,748.09 2,255
C3E2N01576D2 21 1 ARPA-e Benchmark 659,275,926.45 1,101 YongOptimization 658,680,010.75 161 TIM-GO 656,926,489.44 3,805 Artelys_Columbia 650,468,686.40 6,909 GOT-BSI-OPF 650,466,137.37 985
C3E2N01576D2 22 1 Artelys_Columbia 592,341,568.94 6,974 TIM-GO 591,206,852.54 3,809 ARPA-e Benchmark 591,194,908.11 1,165 YongOptimization 585,719,809.03 153 GOT-BSI-OPF 583,152,602.55 554
C3E2N01576D2 23 1 ARPA-e Benchmark 654,102,875.17 1,107 TIM-GO 652,079,105.39 3,966 Artelys_Columbia 645,289,673.10 6,924 GOT-BSI-OPF 645,280,006.18 1,456 Electric-Stampede 644,740,456.95 1,511
C3E2N01576D2 31 1 ARPA-e Benchmark 1,047,677,122.24 973 YongOptimization 1,047,547,924.09 150 Artelys_Columbia 1,047,112,247.98 5,666 TIM-GO 1,045,356,615.80 4,066 GOT-BSI-OPF 1,038,868,560.82 818
C3E2N01576D2 32 1 Artelys_Columbia 949,739,649.71 6,930 ARPA-e Benchmark 949,390,107.96 1,103 TIM-GO 948,585,818.55 4,058 YongOptimization 945,327,045.53 148 GOT-BSI-OPF 940,506,499.92 505
C3E2N01576D2 33 1 ARPA-e Benchmark 1,039,354,179.06 1,072 Artelys_Columbia 1,039,047,674.31 7,030 YongOptimization 1,036,809,884.44 156 GOT-BSI-OPF 1,030,543,016.96 945 Electric-Stampede 1,030,002,258.14 1,185
C3E2N01576D2 111 1 YongOptimization 658,697,947.79 133 ARPA-e Benchmark 658,688,998.18 1,047 TIM-GO 656,958,631.41 3,180 Artelys_Columbia 650,350,381.90 6,969 GOT-BSI-OPF 650,348,169.67 770
C3E2N01576D2 112 1 ARPA-e Benchmark 669,580,703.40 1,060 YongOptimization 669,555,627.72 133 TIM-GO 667,736,609.00 3,308 Artelys_Columbia 661,486,979.95 2,033 GOT-BSI-OPF 661,486,005.80 702
C3E2N01576D2 114 1 YongOptimization 610,949,040.20 137 ARPA-e Benchmark 610,860,966.73 1,072 TIM-GO 609,351,001.46 3,137 Artelys_Columbia 602,454,191.69 6,791 GOT-BSI-OPF 602,450,658.95 783
C3E2N01576D2 117 1 ARPA-e Benchmark 692,522,798.05 1,143 YongOptimization 692,470,059.25 137 TIM-GO 690,607,010.81 3,352 Artelys_Columbia 684,525,298.63 6,833 GOT-BSI-OPF 684,522,705.18 746
C3E2N01576D2 118 1 YongOptimization 671,235,776.17 145 ARPA-e Benchmark 671,226,545.93 1,065 TIM-GO 669,429,968.29 4,280 Artelys_Columbia 663,024,859.55 6,858 GOT-BSI-OPF 663,022,638.81 728
C3E2N01576D2 119 1 ARPA-e Benchmark 669,509,925.35 1,090 YongOptimization 669,451,095.57 138 TIM-GO 667,626,602.41 3,634 Artelys_Columbia 661,370,327.77 5,199 GOT-BSI-OPF 661,369,359.75 802
C3E2N01576D2 120 1 ARPA-e Benchmark 669,426,151.76 1,110 YongOptimization 669,353,398.29 134 TIM-GO 667,513,781.80 3,300 Artelys_Columbia 661,264,971.96 4,464 GOT-BSI-OPF 661,264,005.81 698
C3E2N01576D2 121 1 ARPA-e Benchmark 618,959,474.56 1,091 YongOptimization 618,902,603.85 143 TIM-GO 617,258,232.93 3,035 Artelys_Columbia 610,577,849.15 6,812 GOT-BSI-OPF 610,573,924.09 683
C3E2N01576D2 122 1 ARPA-e Benchmark 576,824,028.20 1,035 YongOptimization 576,818,051.62 145 TIM-GO 575,341,131.07 3,528 Artelys_Columbia 568,567,720.31 3,351 GOT-BSI-OPF 568,344,828.70 712
C3E2N01576D2 123 1 ARPA-e Benchmark 690,273,804.20 1,115 YongOptimization 690,216,196.02 144 TIM-GO 688,370,744.34 3,164 Artelys_Columbia 682,154,722.29 6,848 GOT-BSI-OPF 682,152,362.19 720
C3E2N01576D2 124 1 YongOptimization 641,257,047.41 153 ARPA-e Benchmark 641,251,833.05 1,086 TIM-GO 639,554,104.44 3,202 Artelys_Columbia 632,907,178.36 4,398 GOT-BSI-OPF 632,903,211.65 683
C3E2N01576D2 129 1 YongOptimization 676,697,177.09 140 ARPA-e Benchmark 676,671,422.96 1,191 TIM-GO 674,918,554.22 3,234 Artelys_Columbia 668,552,010.42 6,938 GOT-BSI-OPF 668,550,095.29 725
C3E2N01576D2 130 1 YongOptimization 668,227,669.32 142 ARPA-e Benchmark 668,209,896.16 1,014 TIM-GO 666,427,032.34 3,235 Artelys_Columbia 663,861,980.33 3,796 GOT-BSI-OPF 659,954,499.25 737
C3E2N01576D2 130 0 ARPA-e Benchmark 668,204,578.76 1,087 TIM-GO 666,564,897.06 4,644 Artelys_Columbia 659,955,501.89 2,037 GOT-BSI-OPF 659,954,499.25 777 Electric-Stampede 659,526,288.64 1,002
C3E2N01576D3 31 1 ARPA-e Benchmark 3,475,670,921.98 925 TIM-GO 3,468,802,190.51 4,639 Artelys_Columbia 3,444,544,979.63 13,232 GOT-BSI-OPF 3,444,003,673.46 634 Electric-Stampede 3,441,909,246.73 1,063
C3E2N01576D3 32 1 ARPA-e Benchmark 3,278,343,776.79 968 Artelys_Columbia 3,268,675,549.13 7,273 GOT-BSI-OPF 3,245,993,855.64 1,297 Electric-Stampede 3,244,180,122.48 919 YongOptimization 3,206,450,177.12 220
C3E2N01576D3 33 1 ARPA-e Benchmark 3,668,006,850.42 978 TIM-GO 3,661,251,586.79 4,417 Artelys_Columbia 3,637,018,933.49 7,324 GOT-BSI-OPF 3,636,454,920.85 1,824 Electric-Stampede 3,634,473,446.53 1,086
C3E2N02000D1 1 1 YongOptimization 167,984,171.25 147 TIM-GO 167,279,143.82 380 Artelys_Columbia 166,823,607.65 612 GOT-BSI-OPF 107,741,974.48 228      
C3E2N02000D1 3 1 TIM-GO 167,286,464.92 409 Artelys_Columbia 166,823,576.82 602 YongOptimization 165,324,524.29 152 Electric-Stampede 19,877,170.70 569      
C3E2N02000D1 4 1 YongOptimization 168,132,541.59 105 ARPA-e Benchmark 168,070,091.45 612 TIM-GO 167,748,131.12 343 Artelys_Columbia 166,823,482.52 623 Electric-Stampede 163,819,777.08 538
C3E2N02000D1 4 0 YongOptimization 168,132,541.59 92 TIM-GO 167,600,918.79 491 Artelys_Columbia 166,823,482.52 608 Electric-Stampede 163,819,777.08 535 GOT-BSI-OPF 162,406,896.48 160
C3E2N02000D2 1 1 Artelys_Columbia 1,007,725,007.15 6,792 YongOptimization 1,006,479,987.95 711 TIM-GO 1,002,795,538.57 1,985 ARPA-e Benchmark 980,563,834.82 1,633 Electric-Stampede 932,591,252.17 2,003
C3E2N02000D2 3 1 Artelys_Columbia 1,007,725,011.44 6,854 TIM-GO 1,002,804,143.05 1,989 YongOptimization 1,002,492,273.13 430 ARPA-e Benchmark 424,943,854.51 1,702      
C3E2N02000D2 4 1 Artelys_Columbia 1,008,934,674.50 6,839 ARPA-e Benchmark 1,008,600,262.61 1,576 YongOptimization 1,008,226,955.44 472 TIM-GO 1,003,919,732.75 2,299 GOT-BSI-OPF 978,712,174.56 545
C3E2N02000D2 11 1 TIM-GO 904,899,115.31 3,560 Artelys_Columbia 904,155,403.37 6,922 ARPA-e Benchmark 882,170,057.22 1,282 GOT-BSI-OPF 867,121,298.09 4,026      
C3E2N02000D2 13 1 TIM-GO 858,966,129.52 5,971 Artelys_Columbia 858,849,184.51 6,886 ARPA-e Benchmark 850,781,710.28 1,313 GOT-BSI-OPF 829,255,215.14 1,982      
C3E2N02000D2 21 1 TIM-GO 905,468,139.68 5,494 Artelys_Columbia 897,513,173.63 7,024 ARPA-e Benchmark 880,034,212.43 1,630 GOT-BSI-OPF 758,316,245.33 2,053      
C3E2N02000D2 23 1 Artelys_Columbia 859,218,960.57 6,975 TIM-GO 859,195,349.28 6,250 ARPA-e Benchmark 850,328,161.72 1,559            
C3E2N02000D2 31 1 TIM-GO 1,428,176,307.96 5,298 Artelys_Columbia 1,424,080,893.93 6,912 ARPA-e Benchmark 1,401,902,520.88 1,544 GOT-BSI-OPF 1,392,669,483.04 1,702      
C3E2N02000D2 33 1 TIM-GO 1,353,162,371.29 6,535 Artelys_Columbia 1,349,305,293.38 6,877 ARPA-e Benchmark 1,344,072,663.30 1,593            
C3E2N02000D2 33 0 TIM-GO 1,353,162,294.15 5,759 Artelys_Columbia 1,349,202,292.69 6,837 ARPA-e Benchmark 1,344,072,663.30 1,591            
C3E2N02000D3 1 1 Artelys_Columbia 3,526,971,877.01 4,538 YongOptimization 3,520,093,765.01 438 TIM-GO 3,509,766,632.34 2,411 ARPA-e Benchmark 3,428,929,328.54 1,528 Electric-Stampede 3,264,003,081.90 1,637
C3E2N02000D3 4 1 Artelys_Columbia 3,531,205,798.29 13,306 ARPA-e Benchmark 3,529,736,071.24 1,461 YongOptimization 3,528,454,281.10 438 TIM-GO 3,514,378,360.14 2,122 GOT-BSI-OPF 3,433,640,120.97 572
C3E2N02000D3 11 1 TIM-GO 3,231,075,012.61 4,767 Artelys_Columbia 3,230,584,209.55 13,314 ARPA-e Benchmark 3,163,963,318.74 1,241            
C3E2N02000D3 12 1 TIM-GO 2,838,556,884.33 3,117 Artelys_Columbia 2,838,345,154.41 13,271 ARPA-e Benchmark 2,808,381,935.34 1,290            
C3E2N02000D3 13 1 Artelys_Columbia 2,822,273,125.64 13,260 TIM-GO 2,822,238,893.65 3,394 ARPA-e Benchmark 2,774,945,777.10 1,128 GOT-BSI-OPF 2,751,975,093.80 931      
C3E2N02000D3 21 1 TIM-GO 3,232,663,698.95 4,860 Artelys_Columbia 3,231,720,807.85 13,309 ARPA-e Benchmark 3,165,737,971.50 1,299 GOT-BSI-OPF 2,672,572,508.46 1,111      
C3E2N02000D3 22 1 TIM-GO 2,839,501,280.37 5,840 Artelys_Columbia 2,839,108,284.09 13,405 ARPA-e Benchmark 2,808,543,761.37 1,469 GOT-BSI-OPF 2,478,457,822.62 1,488      
C3E2N02000D3 23 1 TIM-GO 2,823,206,531.93 6,041 Artelys_Columbia 2,821,032,321.41 13,400 ARPA-e Benchmark 2,778,268,492.76 1,339 GOT-BSI-OPF 2,576,801,067.26 1,769      
C3E2N02000D3 31 1 TIM-GO 5,094,093,454.89 5,335 Artelys_Columbia 5,092,761,922.19 13,279 ARPA-e Benchmark 5,028,059,758.52 1,445 GOT-BSI-OPF 4,853,129,763.30 2,796      
C3E2N02000D3 32 1 TIM-GO 4,472,096,688.23 5,917 Artelys_Columbia 4,471,220,855.34 13,351 ARPA-e Benchmark 4,439,493,699.93 1,462 GOT-BSI-OPF 4,335,139,487.03 1,306      
C3E2N02000D3 33 1 TIM-GO 4,447,398,631.35 5,713 Artelys_Columbia 4,440,890,358.27 13,453 ARPA-e Benchmark 4,401,406,468.42 1,304 GOT-BSI-OPF 4,282,190,874.51 2,700      
C3E2N02000D3 33 0 TIM-GO 4,447,400,735.69 5,848 Artelys_Columbia 4,440,786,777.64 13,420 ARPA-e Benchmark 4,401,406,468.42 1,230 GOT-BSI-OPF 4,282,190,874.51 3,261      
C3E2N04224D1 22 1 ARPA-e Benchmark 114,725,876.28 609 YongOptimization 111,027,840.90 78 TIM-GO 106,375,952.63 452 GOT-BSI-OPF 103,407,042.58 421 Artelys_Columbia 103,105,487.83 616
C3E2N04224D1 32 1 Electric-Stampede 151,604,377.46 117 YongOptimization 121,913,364.38 83                  
C3E2N04224D1 33 1 GOT-BSI-OPF 170,603,898.36 594 Electric-Stampede 134,862,333.43 196 YongOptimization 120,722,690.17 81            
C3E2N04224D1 33 0 GOT-BSI-OPF 170,603,898.36 614 Electric-Stampede 134,862,333.43 111 YongOptimization 120,696,717.71 82            
C3E2N04224D2 22 1 ARPA-e Benchmark 578,628,726.78 1,710 YongOptimization 572,477,154.54 254 TIM-GO 527,807,101.96 3,330 GOT-BSI-OPF 509,271,993.59 2,008 Artelys_Columbia 507,572,216.85 7,217
C3E2N04224D2 23 1 ARPA-e Benchmark 576,094,418.37 1,958 YongOptimization 569,178,916.25 256 TIM-GO 526,006,140.80 3,765 GOT-BSI-OPF 506,651,719.24 1,280 Artelys_Columbia 505,008,997.25 7,206
C3E2N04224D2 32 1 ARPA-e Benchmark 957,896,870.89 2,067 TIM-GO 927,070,422.13 4,318 GOT-BSI-OPF 899,227,371.88 1,981 Artelys_Columbia 897,576,066.81 7,202 Electric-Stampede 680,676,214.45 191
C3E2N04224D2 33 1 ARPA-e Benchmark 947,091,608.25 2,411 GOT-BSI-OPF 894,199,273.64 1,909 Artelys_Columbia 892,803,687.52 7,216 YongOptimization 680,432,312.03 312 Electric-Stampede 670,750,191.66 138
C3E2N04224D2 33 0 ARPA-e Benchmark 947,051,004.99 2,283 TIM-GO 922,285,042.91 6,556 GOT-BSI-OPF 894,199,273.64 1,992 Artelys_Columbia 892,795,808.03 3,927 YongOptimization 680,208,132.75 300
C3E2N04224D3 22 1 ARPA-e Benchmark 1,901,270,454.64 1,694 YongOptimization 1,890,515,308.28 176 TIM-GO 1,731,864,246.26 2,626 GOT-BSI-OPF 1,657,108,429.07 841 Artelys_Columbia 1,650,850,988.64 5,021
C3E2N04224D3 23 1 ARPA-e Benchmark 1,724,844,804.95 1,719 YongOptimization 1,720,751,757.90 185 TIM-GO 1,559,690,221.35 2,740 GOT-BSI-OPF 1,479,762,709.22 901 Artelys_Columbia 1,472,515,376.49 13,543
C3E2N04224D3 32 1 ARPA-e Benchmark 3,108,710,165.97 2,150 TIM-GO 3,027,442,782.81 2,906 GOT-BSI-OPF 2,927,069,539.68 1,488 Artelys_Columbia 2,921,795,550.88 11,338 YongOptimization 2,334,195,597.71 199
C3E2N04224D3 33 1 ARPA-e Benchmark 2,752,488,997.49 2,140 TIM-GO 2,715,830,796.27 4,489 GOT-BSI-OPF 2,614,752,124.90 1,230 Artelys_Columbia 2,609,731,557.81 5,509 YongOptimization 2,295,754,256.20 208
C3E2N04224D3 33 0 ARPA-e Benchmark 2,752,219,861.18 1,973 TIM-GO 2,715,830,796.27 4,378 GOT-BSI-OPF 2,614,752,124.90 1,281 Artelys_Columbia 2,609,707,573.10 5,205 YongOptimization 2,295,023,853.89 197
C3E2N06049D1* 11 1 ARPA-e Benchmark 128,615,600.39 1393                        
C3E2N06049D1 12 1 GOT-BSI-OPF 120,496,045.28 444 YongOptimization 107,460,564.44 139                  
C3E2N06049D1 13 1 GOT-BSI-OPF 129,838,361.53 399 YongOptimization 117,604,227.59 135                  
C3E2N06049D1 21 1 Electric-Stampede 131,199,871.68 153 YongOptimization 125,012,156.08 112 GOT-BSI-OPF 90,425,038.65 620            
C3E2N06049D1 22 1 Electric-Stampede 119,808,222.73 156 YongOptimization 117,184,500.55 117 GOT-BSI-OPF 80,090,675.10 618            
C3E2N06049D1 23 1 Electric-Stampede 132,970,446.89 186 YongOptimization 122,998,125.41 119 GOT-BSI-OPF 91,952,500.64 613            
C3E2N06049D1 31 1 Electric-Stampede 186,795,098.68 113 GOT-BSI-OPF 153,353,207.87 612 YongOptimization 89,696,208.77 122            
C3E2N06049D1 32 1 Electric-Stampede 167,981,910.01 155 YongOptimization 145,935,281.97 113 GOT-BSI-OPF 135,126,166.77 621            
C3E2N06049D1 33 1 TIM-GO 193,453,000.25 606 Electric-Stampede 188,927,196.79 156 GOT-BSI-OPF 155,742,696.86 624 YongOptimization 76,433,991.64 121      
C3E2N06049D1 33 0 Electric-Stampede 188,927,196.79 141 GOT-BSI-OPF 155,742,696.86 612 YongOptimization 78,496,727.82 113            
C3E2N06049D2 11 1 ARPA-e Benchmark 738,074,579.79 3,403 GOT-BSI-OPF 729,791,460.39 2,251                  
C3E2N06049D2 12 1 ARPA-e Benchmark 757,181,986.03 3,164 GOT-BSI-OPF 747,807,799.65 2,982                  
C3E2N06049D2 13 1 ARPA-e Benchmark 740,308,267.34 3,444 GOT-BSI-OPF 729,982,028.24 2,027                  
C3E2N06049D2 21 1 ARPA-e Benchmark 773,548,352.23 4,143 TIM-GO 755,982,273.48 6,236 GOT-BSI-OPF 755,198,731.40 2,330 Electric-Stampede 747,041,666.91 139 YongOptimization 700,900,135.97 392
C3E2N06049D2 22 1 ARPA-e Benchmark 798,904,033.44 3,230 GOT-BSI-OPF 781,538,571.98 2,280 Electric-Stampede 740,156,800.46 213 YongOptimization 728,190,599.83 331     7,204
C3E2N06049D2 23 1 ARPA-e Benchmark 770,647,379.40 3,287 TIM-GO 753,019,396.68 6,442 GOT-BSI-OPF 752,161,076.44 2,310 Electric-Stampede 748,832,997.44 162 YongOptimization 641,548,378.27 331
C3E2N06049D2 31 1 ARPA-e Benchmark 1,083,461,440.90 5,247 TIM-GO 1,063,791,153.83 4,774 GOT-BSI-OPF 1,062,437,696.63 3,891 Electric-Stampede 1,055,658,146.09 209 YongOptimization 795,006,440.82 441
C3E2N06049D2 32 1 ARPA-e Benchmark 1,128,733,255.36 4,577 TIM-GO 1,109,689,864.28 6,538 GOT-BSI-OPF 1,108,332,320.49 3,004 Electric-Stampede 1,036,603,650.34 134 YongOptimization 813,929,522.20 357
C3E2N06049D2 33 1 ARPA-e Benchmark 1,078,075,150.50 5,100 GOT-BSI-OPF 1,056,966,510.80 4,045 Electric-Stampede 1,054,447,185.70 171 YongOptimization 861,607,120.99 620     7,226
C3E2N06049D2 33 0 ARPA-e Benchmark 1,078,075,457.99 5,023 TIM-GO 1,058,320,776.93 6,990 GOT-BSI-OPF 1,056,966,510.80 4,363 Electric-Stampede 1,054,447,185.70 185 Artelys_Columbia 910,998,339.79 7,214
C3E2N06049D3 11 1 ARPA-e Benchmark 2,402,274,214.20 2,907 Artelys_Columbia 2,358,103,865.20 14,429 GOT-BSI-OPF 2,351,802,437.11 1,419            
C3E2N06049D3 12 1 ARPA-e Benchmark 2,601,986,324.80 2,951 Artelys_Columbia 2,592,978,230.28 14,412 GOT-BSI-OPF 2,573,537,188.71 1,052            
C3E2N06049D3 13 1 ARPA-e Benchmark 2,560,103,774.38 2,909 GOT-BSI-OPF 2,523,824,076.03 1,474                  
C3E2N06049D3 21 1 ARPA-e Benchmark 2,473,121,780.06 3,693 TIM-GO 2,410,655,961.48 5,998 Artelys_Columbia 2,410,483,888.20 14,404 GOT-BSI-OPF 2,408,710,381.44 3,664 Electric-Stampede 2,325,464,876.67 327
C3E2N06049D3 22 1 ARPA-e Benchmark 2,728,026,946.59 3,879 TIM-GO 2,667,242,087.01 6,291 GOT-BSI-OPF 2,666,015,853.70 2,282 Electric-Stampede 2,646,260,478.11 278 YongOptimization 2,334,669,804.08 323
C3E2N06049D3 23 1 ARPA-e Benchmark 2,659,346,731.05 3,514 Electric-Stampede 2,598,564,449.22 423 TIM-GO 2,597,818,225.99 5,822 Artelys_Columbia 2,597,637,408.59 14,432 GOT-BSI-OPF 2,596,123,487.42 4,620
C3E2N06049D3 31 1 ARPA-e Benchmark 3,382,163,780.39 4,380 TIM-GO 3,312,497,018.85 8,138 GOT-BSI-OPF 3,305,951,805.57 2,641 Electric-Stampede 3,233,715,202.26 230 YongOptimization 2,819,369,826.32 264
C3E2N06049D3 32 1 ARPA-e Benchmark 3,828,561,285.80 4,000 TIM-GO 3,760,048,441.18 6,691 Artelys_Columbia 3,759,858,057.15 14,418 GOT-BSI-OPF 3,757,351,895.23 2,795 Electric-Stampede 3,679,141,137.23 336
C3E2N06049D3 33 1 ARPA-e Benchmark 3,707,532,275.19 4,938 TIM-GO 3,637,433,743.74 6,536 Artelys_Columbia 3,637,250,304.65 14,412 GOT-BSI-OPF 3,634,665,798.99 4,534 Electric-Stampede 3,632,238,962.14 481
C3E2N06049D3 33 0 ARPA-e Benchmark 3,707,529,987.19 4,761 TIM-GO 3,637,438,735.93 8,178 Artelys_Columbia 3,637,259,160.68 14,427 GOT-BSI-OPF 3,634,665,798.99 3,667 Electric-Stampede 3,632,238,962.14 503
C3E2N06708D1 21 1 Electric-Stampede 531,492,350.39 179                        
C3E2N06708D1 22 1 Electric-Stampede 578,685,421.64 243                        
C3E2N06708D1 23 1 Electric-Stampede 672,222,533.66 242                        
C3E2N06708D1* 31 1 ARPA-e Benchmark 772,685,819.92 3719                        
C3E2N06708D1* 32 1 ARPA-e Benchmark 592,964,904.40 3697                        
C3E2N06708D1 33 1 Electric-Stampede 75,671,747.84 144                        
C3E2N06708D1 61 1 Electric-Stampede 1,489,783,258.15 132                        
C3E2N06708D1 62 1 Electric-Stampede 1,541,157,280.51 178                        
C3E2N06708D1 63 1 Electric-Stampede 1,753,642,561.19 172                        
C3E2N06708D1 63 0 Electric-Stampede 1,753,642,561.19 133                        
C3E2N06708D2 21 1 Electric-Stampede 3,416,011,945.28 227                        
C3E2N06708D2* 22 1 ARPA-e Benchmark 3,950,659,680.40 22,401                        
C3E2N06708D2* 23 1 ARPA-e Benchmark 4,586,578,800.38 20,658                        
C3E2N06708D2* 31 1 ARPA-e Benchmark 4,269,110,452.38 25,576                        
C3E2N06708D2* 32 1 ARPA-e Benchmark 3,947,395,842.44 25,231                        
C3E2N06708D2* 33 1 ARPA-e Benchmark 4,591,445,857.31 20,700                        
C3E2N06708D2 61 1 Electric-Stampede 8,820,111,370.07 142                        
C3E2N06708D2 62 1 TIM-GO 8,756,384,904.05 4,917 Electric-Stampede 8,335,577,077.21 259                  
C3E2N06708D2 63 1 Electric-Stampede 9,834,134,334.93 184                        
C3E2N06708D2 63 0 Electric-Stampede 9,834,134,334.93 169                        
C3E2N06708D3 21 1 ARPA-e Benchmark 15,146,415,233.37 8,603                        
C3E2N06708D3 22 1 ARPA-e Benchmark 13,628,106,283.99 9,057 TIM-GO 13,619,926,242.63 11,699                  
C3E2N06708D3 23 1 TIM-GO 17,038,923,221.78 8,999 ARPA-e Benchmark 17,017,187,981.82 10,078                  
C3E2N06708D3 31 1 TIM-GO 15,176,528,170.54 10,736 ARPA-e Benchmark 15,156,851,561.55 8,330                  
C3E2N06708D3 32 1 ARPA-e Benchmark 13,632,586,192.82 11,172                        
C3E2N06708D3 33 1 ARPA-e Benchmark 16,993,410,067.76 10,427                        
C3E2N06708D3 61 1 ARPA-e Benchmark 33,326,825,035.45 11,467 Electric-Stampede 32,109,797,204.30 164                  
C3E2N06708D3 62 1 TIM-GO 30,338,796,775.98 8,823 Electric-Stampede 29,745,012,780.72 168                  
C3E2N06708D3 63 1 ARPA-e Benchmark 37,220,307,945.31 10,869 Electric-Stampede 35,405,399,255.67 156                  
C3E2N06708D3 63 0 TIM-GO 37,447,862,465.73 8,877 ARPA-e Benchmark 37,220,307,945.31 11,592 Electric-Stampede 35,405,399,255.67 183            
C3E2N06717D1 1 1 YongOptimization 36,583,501.17 381 Electric-Stampede 23,854,162.87 119 GOT-BSI-OPF 11,391,455.95 580            
C3E2N06717D1 4 1 YongOptimization 36,575,018.05 491 Electric-Stampede 23,854,162.87 108 GOT-BSI-OPF 11,390,126.75 601            
C3E2N06717D1 5 1 YongOptimization 37,453,159.90 355 Electric-Stampede 33,496,053.38 151                  
C3E2N06717D1 5 0 YongOptimization 37,453,159.90 394 Electric-Stampede 33,496,053.38 112                  
C3E2N06717D2 1 1 TIM-GO 251,052,335.47 6,222 Electric-Stampede 181,219,286.08 112 GOT-BSI-OPF 7,758,213.99 1,649            
C3E2N06717D2 4 1 Electric-Stampede 181,219,286.08 192 GOT-BSI-OPF 7,758,213.99 1,531                  
C3E2N06717D2 5 1 Electric-Stampede 245,248,010.02 167 GOT-BSI-OPF 55,968,726.12 1,836                  
C3E2N06717D2 21 1 TIM-GO 965,892,229.63 5,710 Electric-Stampede 847,786,163.13 234 GOT-BSI-OPF 841,649,665.40 2,096            
C3E2N06717D2 22 1 TIM-GO 1,006,638,461.98 5,691 ARPA-e Benchmark 1,002,825,403.54 7,164 GOT-BSI-OPF 887,107,099.77 2,462            
C3E2N06717D2 23 1 TIM-GO 975,203,089.85 5,802 Electric-Stampede 834,476,029.33 344                  
C3E2N06717D2 31 1 TIM-GO 1,512,020,572.46 6,766 GOT-BSI-OPF 1,452,640,478.93 4,156 Electric-Stampede 1,398,725,485.25 154            
C3E2N06717D2 32 1 TIM-GO 1,575,513,269.08 5,847 GOT-BSI-OPF 1,516,961,098.66 2,541                  
C3E2N06717D2 33 1 Electric-Stampede 1,434,123,947.77 446                        
C3E2N06717D2 33 0 TIM-GO 1,525,755,596.13 6,009 ARPA-e Benchmark 1,521,870,869.71 7,759 Electric-Stampede 1,434,123,947.77 464            
C3E2N06717D3 3 1 Artelys_Columbia 887,810,048.53 14,128 ARPA-e Benchmark 880,016,207.66 13,623 TIM-GO 862,798,739.15 11,217 Electric-Stampede 685,947,541.39 117 GOT-BSI-OPF 38,857,605.15 990
C3E2N06717D3 4 1 Artelys_Columbia 887,841,894.78 13,920 ARPA-e Benchmark 879,898,414.25 12,470 TIM-GO 864,034,252.02 13,451 Electric-Stampede 685,947,541.39 169      
C3E2N06717D3 5 1 Artelys_Columbia 897,504,090.67 14,098 Electric-Stampede 882,202,450.02 284 TIM-GO 880,184,695.19 10,615 GOT-BSI-OPF 190,511,025.99 1,094      
C3E2N06717D3 21 1 TIM-GO 3,440,819,542.55 8,902 Artelys_Columbia 3,435,057,064.15 14,037 ARPA-e Benchmark 3,385,955,003.19 5,708 Electric-Stampede 2,966,836,626.41 764      
C3E2N06717D3 22 1 TIM-GO 3,296,086,194.05 9,154 Artelys_Columbia 3,296,014,174.32 13,990 ARPA-e Benchmark 3,241,184,386.03 5,754 GOT-BSI-OPF 2,895,617,937.13 1,877 Electric-Stampede 2,833,311,643.30 319
C3E2N06717D3 23 1 TIM-GO 3,178,817,231.75 9,913 Artelys_Columbia 3,178,748,017.64 13,979 ARPA-e Benchmark 3,137,511,021.67 6,262 GOT-BSI-OPF 2,784,595,355.63 1,898 Electric-Stampede 515,865,701.84 1,301
C3E2N06717D3 31 1 TIM-GO 5,385,050,449.07 9,357 Artelys_Columbia 5,379,030,791.27 14,011 ARPA-e Benchmark 5,330,262,249.06 6,853 GOT-BSI-OPF 5,185,216,445.77 2,167 Electric-Stampede 5,001,356,398.32 183
C3E2N06717D3 32 1 TIM-GO 5,157,001,376.07 9,110 Artelys_Columbia 5,156,929,896.49 14,113 ARPA-e Benchmark 5,102,099,635.74 5,775 GOT-BSI-OPF 4,968,787,907.61 1,938 Electric-Stampede 4,764,817,365.67 151
C3E2N06717D3 33 1 TIM-GO 4,972,066,399.05 9,398 Artelys_Columbia 4,971,989,378.61 13,974 ARPA-e Benchmark 4,930,722,134.52 7,022 GOT-BSI-OPF 4,788,490,438.88 1,788 Electric-Stampede 4,504,446,726.99 198
C3E2N06717D3 33 0 TIM-GO 4,972,066,155.76 9,436 Artelys_Columbia 4,971,992,654.87 14,062 ARPA-e Benchmark 4,930,722,134.52 5,306 GOT-BSI-OPF 4,788,490,438.88 1,779 Electric-Stampede 4,504,446,726.99 221

*Bold text in the table above indicates scenarios where no team produced a positive zms within the time limit. The values given in this case are from Benchmark runs that were allowed to exceed the time limits (600 sec. for Div. 1 and 7,200 sec. for Div. 2)