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osorio-cta: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jordi Castro |
Description: | Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data. |
MIPLIB Entry |
Parent Instance (osorio-cta)
All other instances below were be compared against this "query" instance.
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 | ger50-17-ptp-pop-6t [MIPLIB] | ns1208400 [MIPLIB] | neos-952987 [MIPLIB] | neos-848198 [MIPLIB] | neos-1445532 [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 / 0.955 | 2 / 1.004 | 3 / 1.046 | 4 / 1.063 | 5 / 1.086 | |
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 | f2gap40400 [MIPLIB] | supportcase35 [MIPLIB] | ns4-pr6 [MIPLIB] | supportcase41 [MIPLIB] | bts4-cta [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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20 / 1.214 | 126 / 1.448 | 516 / 1.693 | 602 / 1.727 | 807 / 1.858 | |
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 osorio-cta, the five most similar instances to osorio-cta according to the MIC, and the five most similar instances to osorio-cta according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | osorio-cta [MIPLIB] | Jordi Castro | Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data. | 0.000000 | - |
MIC Top 5 | ger50-17-ptp-pop-6t [MIPLIB] | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 0.954508 | 1 |
ns1208400 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 1.004318 | 2 | |
neos-952987 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 1.045687 | 3 | |
neos-848198 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.062521 | 4 | |
neos-1445532 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.085530 | 5 | |
MIPLIB Top 5 | f2gap40400 [MIPLIB] | Salim Haddadi | Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 1.214292 | 20 |
supportcase35 [MIPLIB] | Domenico Salvagnin | Instance coming from IBM developerWorks forum with unknown application. | 1.447860 | 126 | |
ns4-pr6 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.693084 | 516 | |
supportcase41 [MIPLIB] | Domenico Salvagnin | Instance coming from IBM developerWorks forum with unknown application. | 1.726508 | 602 | |
bts4-cta [MIPLIB] | Jordi Castro | Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data. | 1.858357 | 807 |
osorio-cta: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | cta |
Assigned Model Group Rank/ISS in the MIC: | 1 / 1.472 |
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 | cta | neos-pseudoapplication-108 | ger50 | neos-pseudoapplication-22 | ran | |
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 / 1.472 | 2 / 1.706 | 3 / 1.717 | 4 / 1.855 | 5 / 1.901 |
Model Group Summary
The table below contains summary information for the five most similar model groups to osorio-cta according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | cta | Jordi Castro | Set of MILP models of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of models are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data. | 1.472343 | 1 |
neos-pseudoapplication-108 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 1.705908 | 2 | |
ger50 | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 1.716528 | 3 | |
neos-pseudoapplication-22 | Jeff Linderoth | (None provided) | 1.854920 | 4 | |
ran | J. Aronson | Fixed charge transportation problem | 1.901484 | 5 |