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leo2: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | COR@L test set |
| Description: | Instance coming from the COR@L test set with unknown origin |
| MIPLIB Entry |
Parent Instance (leo2)
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 | leo1 [MIPLIB] | sp98ic [MIPLIB] | neos-4984115-canche [MIPLIB] | neos-5018451-chiese [MIPLIB] | sp97ar [MIPLIB] | |
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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 / 0.392 | 2 / 0.609 | 3 / 0.738 | 4 / 0.806 | 5 / 0.821 | |
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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 | leo1 [MIPLIB] | blp-ar98 [MIPLIB] | blp-ir98 [MIPLIB] | blp-ic98 [MIPLIB] | blp-ic97 [MIPLIB] | |
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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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1 / 0.392 | 13 / 1.095 | 52 / 1.432 | 80 / 1.540 | 115 / 1.690 | |
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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 leo2, the five most similar instances to leo2 according to the MIC, and the five most similar instances to leo2 according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
|---|---|---|---|---|---|
| Parent Instance | leo2 [MIPLIB] | COR@L test set | Instance coming from the COR@L test set with unknown origin | 0.000000 | - |
| MIC Top 5 | leo1 [MIPLIB] | COR@L test set | Instance coming from the COR@L test set with unknown origin | 0.392427 | 1 |
| sp98ic [MIPLIB] | J. Goessens, S. v. Hoessel, L. Kroon | Railway line planning instance | 0.609235 | 2 | |
| neos-4984115-canche [MIPLIB] | Jeff Linderoth | (None provided) | 0.738443 | 3 | |
| neos-5018451-chiese [MIPLIB] | Jeff Linderoth | (None provided) | 0.805943 | 4 | |
| sp97ar [MIPLIB] | J. Goessens, S. v. Hoessel, L. Kroon | Railway line planning instance. Solved with Gurobi 4.5.1 on a 12-core Linux system in 2678.77 sec. | 0.821293 | 5 | |
| MIPLIB Top 5 | leo1 [MIPLIB] | COR@L test set | Instance coming from the COR@L test set with unknown origin | 0.392427 | 1 |
| blp-ar98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 1.095292 | 13 | |
| blp-ir98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 1.431992 | 52 | |
| blp-ic98 [MIPLIB] | M. Lübbecke | Railway line planning instance | 1.540439 | 80 | |
| 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. | 1.690382 | 115 |
leo2: Instance-to-Model Comparison Results
| Model Group Assignment from MIPLIB: | no model group assignment |
| Assigned Model Group Rank/ISS in the MIC: | N.A. / N.A. |
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 | neos-pseudoapplication-69 | neos-pseudoapplication-85 | rail0 | chromaticindex | neos-pseudoapplication-24 | |
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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 / 1.379 | 2 / 1.408 | 3 / 1.436 | 4 / 1.438 | 5 / 1.439 |
Model Group Summary
The table below contains summary information for the five most similar model groups to leo2 according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | neos-pseudoapplication-69 | Jeff Linderoth | (None provided) | 1.378621 | 1 |
| neos-pseudoapplication-85 | Jeff Linderoth | (None provided) | 1.407824 | 2 | |
| rail0 | Thomas Schlechte | Track allocation problem modeled as arc coupling problem The problem was solved by CPLEX 12.4. It took approximately 170 hours. | 1.435642 | 3 | |
| chromaticindex | Pierre Le Bodic | Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees. | 1.437775 | 4 | |
| neos-pseudoapplication-24 | Jeff Linderoth | (None provided) | 1.439360 | 5 |
