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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.![]() ![]() |
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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 | 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 |