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ger50
| Type: | Model Group |
| Submitter: | C. Raack |
| Description: | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. |
Parent Model Group (ger50)
All other model groups below were be compared against this "query" model group.  |
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Model Group Composite (MGC) image
Composite of the decomposed CCM images for every instance in the query model group.
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Component Instances (Decomposed)
These are the decomposed CCM images for each instance in the query model group. |
These are component instance images.
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| Name | ger50-17-ptp-pop-6t | ger50-17-trans-dfn-3t | ger50_17_trans |
MIC Top 5 Model Groups
These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric. |
FIXME - These are model group composite images.
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| Name | neos-pseudoapplication-22 | ran | neos-pseudoapplication-19 | cta | neos-pseudoapplication-47 | |
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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 model group and all other model groups. A smaller ISS value indicates greater similarity.
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1 / 1.397 | 2 / 1.740 | 3 / 1.797 | 4 / 1.837 | 5 / 1.840 |
Model Group Summary
The table below contains summary information for ger50, and for the five most similar model groups to ger50 according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| Parent Model Group | ger50 | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 0.000000 | - |
| MIC Top 5 | neos-pseudoapplication-22 | Jeff Linderoth | (None provided) | 1.396725 | 1 |
| ran | J. Aronson | Fixed charge transportation problem | 1.740322 | 2 | |
| neos-pseudoapplication-19 | Hans Mittelmann | similar to model ns5223573 submitted in January Solved with ParaSCIP in 525353 seconds with 71 solvers(72 cores). | 1.797334 | 3 | |
| 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. | 1.836922 | 4 | |
| neos-pseudoapplication-47 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.840345 | 5 |
