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neos-4971100-bodrog: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-4971100-bodrog)
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 | timtab1CUTS [MIPLIB] | mad [MIPLIB] | ger50-17-ptp-pop-6t [MIPLIB] | misc05inf [MIPLIB] | neos-848589 [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 / 1.199 | 2 / 1.204 | 3 / 1.214 | 4 / 1.265 | 5 / 1.269 | |
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 | ta2-UUE [MIPLIB] | neos4 [MIPLIB] | neos-3734794-moppy [MIPLIB] | ofi2 [MIPLIB] | ofi [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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74 / 1.539 | 301 / 1.695 | 579 / 1.808 | 929 / 2.441 | 932 / 2.460 | |
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-4971100-bodrog, the five most similar instances to neos-4971100-bodrog according to the MIC, and the five most similar instances to neos-4971100-bodrog according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-4971100-bodrog [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | timtab1CUTS [MIPLIB] | C. Liebchen, R. Möhring | Public transport scheduling problem | 1.199490 | 1 |
mad [MIPLIB] | Koichi Fujii | Mean-Absolute Deviation Model for Car Dealerships | 1.204418 | 2 | |
ger50-17-ptp-pop-6t [MIPLIB] | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 1.213720 | 3 | |
misc05inf [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.265201 | 4 | |
neos-848589 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.268619 | 5 | |
MIPLIB Top 5 | ta2-UUE [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.539279 | 74 |
neos4 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.695042 | 301 | |
neos-3734794-moppy [MIPLIB] | Jeff Linderoth | (None provided) | 1.808158 | 579 | |
ofi2 [MIPLIB] | Luigi Poderico | Imported from the MIPLIB2010 submissions. | 2.441108 | 929 | |
ofi [MIPLIB] | Luigi Poderico | Natural gas supply portfolio optimization | 2.459602 | 932 |
neos-4971100-bodrog: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-20 |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.0 |
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-20 | timtab | scp | neos-pseudoapplication-21 | 8div | |
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 / 0.000 | 2 / 1.792 | 3 / 1.946 | 4 / 1.969 | 5 / 1.974 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-4971100-bodrog according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-20 | Jeff Linderoth | (None provided) | 0.000000 | 1 |
timtab | C. Liebchen, R. Möhring | Public transport scheduling problem | 1.792290 | 2 | |
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 | 1.946048 | 3 | |
neos-pseudoapplication-21 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.968906 | 4 | |
8div | Sascha Kurz | Projective binary 8-divisible linear block codes A linear block code is called 8-divisible if the weights of its codewords are divisible by 8. It is called projective if there are no duplicate columns in the generator matrix. The possible lengths of 8-divisible linear block codes have been classified except for length n=59, where it is undecided whether such a linear code exists. The possible dimensions satisfy \\(10 \\le k \\le 20\\). Model 8div_n59_kXX contains the corresponding feasibility problem. Projective binary 8-divisible linear block codes occur as hole configurations of so-called partial solid spreads in finite geometry. Binary 4-divisible linear block codes have applications in physics. | 1.974421 | 5 |