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neos-5018451-chiese: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-5018451-chiese)
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 | sp98ic [MIPLIB] | neos-4984115-canche [MIPLIB] | rail01 [MIPLIB] | n3seq24 [MIPLIB] | leo1 [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 / 0.632 | 2 / 0.690 | 3 / 0.739 | 4 / 0.777 | 5 / 0.784 | |
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 | neos-4984115-canche [MIPLIB] | neos-3754224-navua [MIPLIB] | eva1aprime5x5opt [MIPLIB] | eva1aprime6x6opt [MIPLIB] | stockholm [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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2 / 0.690 | 86 / 1.581 | 720 / 2.348 | 766 / 2.379 | 892 / 2.617 | |
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 neos-5018451-chiese, the five most similar instances to neos-5018451-chiese according to the MIC, and the five most similar instances to neos-5018451-chiese according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-5018451-chiese [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | sp98ic [MIPLIB] | J. Goessens, S. v. Hoessel, L. Kroon | Railway line planning instance | 0.632177 | 1 |
neos-4984115-canche [MIPLIB] | Jeff Linderoth | (None provided) | 0.689750 | 2 | |
rail01 [MIPLIB] | Thomas Schlechte | Track allocation problem modeled as arc coupling problem | 0.738772 | 3 | |
n3seq24 [MIPLIB] | R. Meirich | Static line planning models on the Dutch IC network | 0.776573 | 4 | |
leo1 [MIPLIB] | COR@L test set | Instance coming from the COR@L test set with unknown origin | 0.783857 | 5 | |
MIPLIB Top 5 | neos-4984115-canche [MIPLIB] | Jeff Linderoth | (None provided) | 0.689750 | 2 |
neos-3754224-navua [MIPLIB] | Jeff Linderoth | (None provided) | 1.581252 | 86 | |
eva1aprime5x5opt [MIPLIB] | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 2.348346 | 720 | |
eva1aprime6x6opt [MIPLIB] | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 2.378620 | 766 | |
stockholm [MIPLIB] | Paul Rubin | Toll booth placement problem | 2.616746 | 892 |
neos-5018451-chiese: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-69 |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.909 |
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 | rail0 | blp | neos-pseudoapplication-36 | chromaticindex | |
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 / 0.910 | 2 / 1.351 | 3 / 1.425 | 4 / 1.530 | 5 / 1.631 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-5018451-chiese according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-69 | Jeff Linderoth | (None provided) | 0.909619 | 1 |
rail0 | Thomas Schlechte | Track allocation problem modeled as arc coupling problem The problem was solved by CPLEX 12.4. It took approximately 170 hours. | 1.350625 | 2 | |
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. | 1.425132 | 3 | |
neos-pseudoapplication-36 | Jeff Linderoth | (None provided) | 1.530090 | 4 | |
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. | 1.630714 | 5 |