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neos-3322547-alsek: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-3322547-alsek)
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-848589 [MIPLIB] | neos-2978205-isar [MIPLIB] | gt2 [MIPLIB] | mad [MIPLIB] | ger50-17-ptp-pop-6t [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 / 0.169 | 2 / 0.523 | 3 / 0.731 | 4 / 0.736 | 5 / 0.774 | |
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 | proteindesign122trx11p8 [MIPLIB] | neos-2991472-kalu [MIPLIB] | k1mushroom [MIPLIB] | splice1k1 [MIPLIB] | supportcase18 [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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44 / 1.086 | 101 / 1.223 | 338 / 1.349 | 388 / 1.379 | 476 / 1.442 | |
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-3322547-alsek, the five most similar instances to neos-3322547-alsek according to the MIC, and the five most similar instances to neos-3322547-alsek according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-3322547-alsek [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | neos-848589 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.168828 | 1 |
neos-2978205-isar [MIPLIB] | Jeff Linderoth | (None provided) | 0.522638 | 2 | |
gt2 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.730848 | 3 | |
mad [MIPLIB] | Koichi Fujii | Mean-Absolute Deviation Model for Car Dealerships | 0.735628 | 4 | |
ger50-17-ptp-pop-6t [MIPLIB] | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 0.774390 | 5 | |
MIPLIB Top 5 | proteindesign122trx11p8 [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 | 1.086442 | 44 |
neos-2991472-kalu [MIPLIB] | Jeff Linderoth | (None provided) | 1.222825 | 101 | |
k1mushroom [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 | 1.348962 | 338 | |
splice1k1 [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 | 1.378684 | 388 | |
supportcase18 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application | 1.441539 | 476 |
neos-3322547-alsek: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-77 |
Assigned Model Group Rank/ISS in the MIC: | 2 / 1.257 |
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 | scp | neos-pseudoapplication-77 | neos-pseudoapplication-74 | markshare | stein | |
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 / 1.225 | 2 / 1.257 | 3 / 1.458 | 4 / 1.460 | 5 / 1.482 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-3322547-alsek according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | scp | Shunji Umetani | This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark | 1.224664 | 1 |
neos-pseudoapplication-77 | Jeff Linderoth | (None provided) | 1.257269 | 2 | |
neos-pseudoapplication-74 | Jeff Linderoth | (None provided) | 1.457904 | 3 | |
markshare | G. Cornuéjols, M. Dawande | Market sharing problem | 1.460142 | 4 | |
stein | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.482331 | 5 |