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blp-ar98: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | M. Lübbecke |
Description: | Railway line planning instance |
MIPLIB Entry |
Parent Instance (blp-ar98)
All other instances below were be compared against this "query" instance.![]() ![]() |
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Raw
This is the CCM image before the decomposition procedure has been applied.
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Decomposed
This is the CCM image after a decomposition procedure has been applied. This is the image used by the MIC's image-based comparisons for this query instance.
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Composite of MIC Top 5
Composite of the five decomposed CCM images from the MIC Top 5.
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Composite of MIPLIB Top 5
Composite of the five decomposed CCM images from the MIPLIB Top 5.
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Model Group Composite Image
Composite of the decomposed CCM images for every instance in the same model group as this query.
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MIC Top 5 Instances
These are the 5 decomposed CCM images that are most similar to decomposed CCM image for the the query instance, according to the ISS metric.![]() ![]() |
Decomposed
These decomposed images were created by GCG.
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Name | 30_70_45_095_100 [MIPLIB] | sp97ic [MIPLIB] | n2seq36f [MIPLIB] | rail03 [MIPLIB] | neos-3594536-henty [MIPLIB] | |
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.
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1 / 0.604 | 2 / 0.650 | 3 / 0.652 | 4 / 0.677 | 5 / 0.739 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
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MIPLIB Top 5 Instances
These are the 5 instances that are most closely related to the query instance, according to the instance statistic-based similarity measure employed by MIPLIB 2017![]() ![]() |
Decomposed
These decomposed images were created by GCG.
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Name | blp-ir98 [MIPLIB] | blp-ic98 [MIPLIB] | blp-ic97 [MIPLIB] | leo1 [MIPLIB] | neos-3116779-oban [MIPLIB] | |
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all model groups. A smaller ISS value indicates greater similarity.
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6 / 0.748 | 11 / 0.866 | 30 / 1.063 | 32 / 1.080 | 95 / 1.312 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
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Instance Summary
The table below contains summary information for blp-ar98, the five most similar instances to blp-ar98 according to the MIC, and the five most similar instances to blp-ar98 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | blp-ar98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 0.000000 | - |
MIC Top 5 | 30_70_45_095_100 [MIPLIB] | J. Walser | Geographic radar station allocation | 0.603573 | 1 |
sp97ic [MIPLIB] | J. Goessens, S. v. Hoessel, L. Kroon | Railway line planning instance | 0.649965 | 2 | |
n2seq36f [MIPLIB] | R. Meirich | Static line planning models on the Dutch IC network | 0.652263 | 3 | |
rail03 [MIPLIB] | Thomas Schlechte | Track allocation problem modeled as arc coupling problem The problem was solved by CPLEX 12.4. It took approximately 170 hours. | 0.677485 | 4 | |
neos-3594536-henty [MIPLIB] | Jeff Linderoth | (None provided) | 0.738862 | 5 | |
MIPLIB Top 5 | blp-ir98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 0.748055 | 6 |
blp-ic98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 0.866081 | 11 | |
blp-ic97 [MIPLIB] | M. Lübbecke | Railway line planning instance. Solved using CPLEX 12.3 (12 threads) on an Intel Xeon X5650 @ 2.67GHz, 12MB cache, 24GB RAM in 4947.5 sec.\xa0Solved using Gurobi 4.6.1 (12 threads) in 1867.9 sec. | 1.063109 | 30 | |
leo1 [MIPLIB] | COR@L test set | Instance coming from the COR@L test set with unknown origin | 1.080081 | 32 | |
neos-3116779-oban [MIPLIB] | Jeff Linderoth | (None provided) | 1.312464 | 95 |
blp-ar98: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | blp |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.869 |
MIC Top 5 Model Groups
These are the 5 model group composite (MGC) images that are most similar to the decomposed CCM image for the query instance, according to the ISS metric.![]() ![]() |
These are model group composite (MGC) images for the MIC top 5 model groups.
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Name | blp | neos-pseudoapplication-69 | neos-pseudoapplication-36 | pr_product | neos-pseudoapplication-99 | |
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.
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1 / 0.869 | 2 / 1.129 | 3 / 1.174 | 4 / 1.316 | 5 / 1.530 |
Model Group Summary
The table below contains summary information for the five most similar model groups to blp-ar98 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | blp | M. Lübbecke | Railway line planning model. Solved using CPLEX 12.3 (12 threads) on an Intel Xeon X5650 @ 2.67GHz, 12MB cache, 24GB RAM in 4947.5 sec.\xa0Solved using Gurobi 4.6.1 (12 threads) in 1867.9 sec. | 0.869019 | 1 |
neos-pseudoapplication-69 | Jeff Linderoth | (None provided) | 1.129217 | 2 | |
neos-pseudoapplication-36 | Jeff Linderoth | (None provided) | 1.174208 | 3 | |
pr_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.315847 | 4 | |
neos-pseudoapplication-99 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.530341 | 5 |