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neos-3759587-noosa: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-3759587-noosa)
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 | neos-3755335-nizao [MIPLIB] | nj3 [MIPLIB] | shiftreg5-1 [MIPLIB] | icir97_potential [MIPLIB] | neos-3611447-jijia [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 / 0.674 | 2 / 0.869 | 3 / 0.965 | 4 / 1.082 | 5 / 1.153 | |
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-3755335-nizao [MIPLIB] | istanbul-no-cutoff [MIPLIB] | supportcase37 [MIPLIB] | neos-872648 [MIPLIB] | neos-873061 [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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1 / 0.674 | 29 / 1.583 | 338 / 1.955 | 580 / 2.090 | 585 / 2.093 | |
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-3759587-noosa, the five most similar instances to neos-3759587-noosa according to the MIC, and the five most similar instances to neos-3759587-noosa according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-3759587-noosa [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | neos-3755335-nizao [MIPLIB] | Jeff Linderoth | (None provided) | 0.673763 | 1 |
nj3 [MIPLIB] | Jonathan Eckstein | Electoral district design with various levels of symmetry breaking constraints. | 0.868941 | 2 | |
shiftreg5-1 [MIPLIB] | Domenico Salvagnin | Multi-activity shift scheduling problem with 5 activities and 24 employees, using an implicit model based on a regular language. | 0.965124 | 3 | |
icir97_potential [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.081701 | 4 | |
neos-3611447-jijia [MIPLIB] | Jeff Linderoth | (None provided) | 1.152776 | 5 | |
MIPLIB Top 5 | neos-3755335-nizao [MIPLIB] | Jeff Linderoth | (None provided) | 0.673763 | 1 |
istanbul-no-cutoff [MIPLIB] | Utz-Uwe Haus | Exact MILP reformulation using binary decision diagrams to obtain scenario bundles of 2-stage stochastic expected shortest path and expected maximum flow problem with decision dependent scenario probabilities. Notes: * very few binary variables * for each fixing of the binaries a system of equations computing conditioned probabilities remains | 1.582914 | 29 | |
supportcase37 [MIPLIB] | Domenico Salvagnin | Instance coming from IBM developerWorks forum with unknown application. | 1.955079 | 338 | |
neos-872648 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.090155 | 580 | |
neos-873061 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.093275 | 585 |
neos-3759587-noosa: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-61 |
Assigned Model Group Rank/ISS in the MIC: | 2 / 1.298 |
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-91 | neos-pseudoapplication-61 | nj | hypothyroid | shiftreg | |
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 / 1.260 | 2 / 1.299 | 3 / 1.796 | 4 / 1.828 | 5 / 1.839 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-3759587-noosa according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-91 | Jeff Linderoth | (None provided) | 1.259726 | 1 |
neos-pseudoapplication-61 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.298577 | 2 | |
nj | Jonathan Eckstein | Electoral district design with various levels of symmetry breaking constraints. | 1.796366 | 3 | |
hypothyroid | Gleb Belov | Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38 | 1.827877 | 4 | |
shiftreg | Domenico Salvagnin | Multi-activity shift scheduling problem with 1 activity and 12 employees, using an implicit model based on a regular language. | 1.839343 | 5 |