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supportcase4: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | Michael Winkler |
| Description: | MIP instances collected from Gurobi forum with unknown application |
| MIPLIB Entry |
Parent Instance (supportcase4)
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 | opt1217 [MIPLIB] | bienst2 [MIPLIB] | bienst1 [MIPLIB] | newdano [MIPLIB] | supportcase3 [MIPLIB] | |
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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 instance and all other instances. A smaller ISS value indicates greater similarity.
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1 / 0.531 | 2 / 0.538 | 3 / 0.541 | 4 / 0.554 | 5 / 0.573 | |
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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 | supportcase3 [MIPLIB] | bnatt500 [MIPLIB] | bnatt400 [MIPLIB] | cryptanalysiskb128n5obj14 [MIPLIB] | cryptanalysiskb128n5obj16 [MIPLIB] | |
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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 instance and all model groups. A smaller ISS value indicates greater similarity.
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5 / 0.573 | 194 / 1.289 | 195 / 1.291 | 736 / 1.803 | 741 / 1.811 | |
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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 supportcase4, the five most similar instances to supportcase4 according to the MIC, and the five most similar instances to supportcase4 according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
|---|---|---|---|---|---|
| Parent Instance | supportcase4 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application | 0.000000 | - |
| MIC Top 5 | opt1217 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.531392 | 1 |
| bienst2 [MIPLIB] | H. Mittelmann | Relaxed version of problem bienst | 0.537844 | 2 | |
| bienst1 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.540729 | 3 | |
| newdano [MIPLIB] | Daniel Bienstock | Telecommunications applications | 0.554213 | 4 | |
| supportcase3 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores). | 0.572526 | 5 | |
| MIPLIB Top 5 | supportcase3 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores). | 0.572526 | 5 |
| bnatt500 [MIPLIB] | Tatsuya Akutsu | We are submitting ILP data for identification of a singletonattractor in a Boolean newtork, which is a well-known problemin computational systems biology.This problem is known to be NP-hard and we developed a methodto transform an instance of the problem to an integer linearprogram (ILP).We used ILPs from artificially generated Boolean networks ofindegree 3.The size of the networks are: 350, 400, 500.Even for the case of 500, we could not find a solution within6 hours using CPLEX 11.2 on a PC with XEON 5470 3.33GHz CPU.(This ILP corresponds to the case of size=350.File format is (zipped) CPLEX LP format.)The details of the method appeared in:T. Akutsu, M. Hayashida and T. Tamura, Integer programming-basedmethods for attractor detection and control of Boolean networks,Proc. The combined 48th IEEE Conference on Decision and Controland 28th Chinese Control Conference (IEEE CDC/CCC 2009), 5610-5617, 2009. | 1.289324 | 194 | |
| bnatt400 [MIPLIB] | Tatsuya Akutsu | Model to identify a singleton attractor in a Boolean network, applications in computational systems biology. Solved by SCIP 3.0 with SoPlex 1.7.0 in half an hour. A Intel Core2 Extreme CPU X9659 @3.00GHz was used. | 1.290669 | 195 | |
| cryptanalysiskb128n5obj14 [MIPLIB] | 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 | 1.803083 | 736 | |
| cryptanalysiskb128n5obj16 [MIPLIB] | 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 | 1.810816 | 741 |
supportcase4: Instance-to-Model Comparison Results
| Model Group Assignment from MIPLIB: | no model group assignment |
| Assigned Model Group Rank/ISS in the MIC: | N.A. / N.A. |
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-1 | neos-pseudoapplication-69 | neos-pseudoapplication-36 | neos-pseudoapplication-40 | neos-pseudoapplication-24 | |
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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 instance and all other instances. A smaller ISS value indicates greater similarity.
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1 / 1.289 | 2 / 1.296 | 3 / 1.366 | 4 / 1.466 | 5 / 1.488 |
Model Group Summary
The table below contains summary information for the five most similar model groups to supportcase4 according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | neos-pseudoapplication-1 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.288964 | 1 |
| neos-pseudoapplication-69 | Jeff Linderoth | (None provided) | 1.295634 | 2 | |
| neos-pseudoapplication-36 | Jeff Linderoth | (None provided) | 1.365628 | 3 | |
| neos-pseudoapplication-40 | Jeff Linderoth | (None provided) | 1.465949 | 4 | |
| neos-pseudoapplication-24 | Jeff Linderoth | (None provided) | 1.488067 | 5 |
