ACP Challenge
- Ranking
Final Global Ranking (August 20, 2016)
Teams are ranked based on the sum of normalized gain across all
the instances (normalization is done with reference to best gain on each
instance). Thus for each instance the contribution of one instance
to their global gain is between 0 and 1 (1 if the team obtain the
best solution for this instance).
Global Ranking
# |
Global |
Teams |
1 |
6.000000000 |
Top Steel, TorpedoOptimizers (ex aequo) |
3 |
5.999996464 |
Martin J. Geiger |
4 |
5.999996408 |
Eaglet Smelters |
5 |
5.999975286 |
Octopus |
6 |
5.965980375 |
organiser |
Final Temporal Ranking (August 20, 2016)
Here, Teams are ranked based on number of days where they are ranked first
in Global Ranking above (from July 4, 2016 to August 20, 2016).
Temporal Ranking
#days |
Name |
47 |
TorpedoOptimizers |
3 |
Top Steel |
1 |
Martin J. Geiger |
Global Ranking (current but challenge is off)
Teams are ranked based on the sum of normalized gain across all
the instances (normalization is done with reference to best gain on each
instance). Thus for each instance the contribution of one instance
to their global gain is between 0 and 1 (1 if the team obtain the
best solution for this instance).
Global Ranking
# |
Global |
Teams |
1 |
6.000000000 |
Top Steel, TorpedoOptimizers (ex aequo) |
3 |
5.999999290 |
Octopus |
4 |
5.999996464 |
Martin J. Geiger |
5 |
5.999996408 |
Eaglet Smelters |
6 |
5.999750298 |
EdonGashi |
7 |
5.965980375 |
organiser |
Temporal Ranking (current but challenge is off)
Here, Teams are ranked based on number of days where they are ranked first
in Global Ranking above (since July 4, 2016).
Temporal Ranking
#days |
Name |
Ranking by Instance (current but challenge is off)
Since the objective function is lexicographic, the second objective
(timeDesulf) will be normalized to have a value always
between 0 and 1. In the output of the checker you’ll see:
cost = torpedo + timeDesulf / (upperBoundTorpedo * durDesulf)
The ranking is based on this cost. More precisely it is on the gain
with reference to a solution (worst solution) that would
use one torpedo for every order at the BF:
gain = (maxNumberTorpedo + 1) - cost
Ranking for instance
instance01.ins
(download)
# |
Gain |
Teams |
1 |
846.910937500
|
TorpedoOptimizers, Top Steel
(ex aequo)
|
3 |
846.910625000
|
Octopus
|
4 |
846.910312500
|
Eaglet Smelters
|
5 |
846.910000000
|
Martin J. Geiger
|
6 |
846.845937500
|
EdonGashi
|
7 |
835.249699074
|
organiser
|
Ranking for instance
instance02.ins
(download)
# |
Gain |
Teams |
1 |
1496.913928571
|
TorpedoOptimizers, Top Steel, Octopus
(ex aequo)
|
4 |
1496.912678571
|
Martin J. Geiger
|
5 |
1496.912321429
|
Eaglet Smelters
|
6 |
1496.823928571
|
EdonGashi
|
7 |
1484.578425325
|
organiser
|
Ranking for instance
instance03.ins
(download)
# |
Gain |
Teams |
1 |
2197.870714286
|
TorpedoOptimizers, Top Steel, Octopus
(ex aequo)
|
4 |
2197.870595238
|
Eaglet Smelters
|
5 |
2197.869880952
|
Martin J. Geiger
|
6 |
2197.812619048
|
EdonGashi
|
7 |
2185.454038095
|
organiser
|
Ranking for instance
instance04.ins
(download)
# |
Gain |
Teams |
1 |
997.843000000
|
TorpedoOptimizers, Martin J. Geiger, Top Steel, Octopus, Eaglet Smelters
(ex aequo)
|
6 |
997.842500000
|
EdonGashi
|
7 |
997.842250000
|
organiser
|
Ranking for instance
instance05.ins
(download)
# |
Gain |
Teams |
1 |
1796.915168539
|
TorpedoOptimizers, Top Steel, Octopus
(ex aequo)
|
4 |
1796.913904494
|
Martin J. Geiger, Eaglet Smelters
(ex aequo)
|
6 |
1796.830337079
|
EdonGashi
|
7 |
1790.741130878
|
organiser
|
Ranking for instance
instance06.ins
(download)
# |
Gain |
Teams |
1 |
2496.925000000
|
TorpedoOptimizers, Top Steel
(ex aequo)
|
3 |
2496.924148936
|
Octopus
|
4 |
2496.923723404
|
Martin J. Geiger
|
5 |
2496.922446809
|
Eaglet Smelters
|
6 |
2496.828404255
|
EdonGashi
|
7 |
2489.624526112
|
organiser
|