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neos-1112782: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | NEOS Server Submission |
| Description: | Instance coming from the NEOS Server with unknown application |
| MIPLIB Entry |
Parent Instance (neos-1112782)
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-1112787 [MIPLIB] | neos-872648 [MIPLIB] | neos-873061 [MIPLIB] | h50x2450 [MIPLIB] | h80x6320d [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 / 0.225 | 2 / 0.507 | 3 / 0.509 | 4 / 0.580 | 5 / 0.679 | |
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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 | neos-1112787 [MIPLIB] | k16x240b [MIPLIB] | p200x1188c [MIPLIB] | p500x2988 [MIPLIB] | p500x2988c* [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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1 / 0.225 | 25 / 1.043 | 105 / 1.178 | 171 / 1.262 | 175* / 1.266* | |
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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 neos-1112782, the five most similar instances to neos-1112782 according to the MIC, and the five most similar instances to neos-1112782 according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| Parent Instance | neos-1112782 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.000000 | - |
| MIC Top 5 | neos-1112787 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.224702 | 1 |
| neos-872648 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.507470 | 2 | |
| neos-873061 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.509153 | 3 | |
| h50x2450 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.580423 | 4 | |
| h80x6320d [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.679187 | 5 | |
| MIPLIB Top 5 | neos-1112787 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.224702 | 1 |
| k16x240b [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.042952 | 25 | |
| p200x1188c [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.178256 | 105 | |
| p500x2988 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.261538 | 171 | |
| p500x2988c* [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.266390* | 175* |
neos-1112782: Instance-to-Model Comparison Results
| Model Group Assignment from MIPLIB: | neos-pseudoapplication-89 |
| Assigned Model Group Rank/ISS in the MIC: | 1 / 0.342 |
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-89 | neos-pseudoapplication-74 | scp | neos-pseudoapplication-2 | supportvectormachine | |
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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 / 0.342 | 2 / 1.400 | 3 / 1.512 | 4 / 1.563 | 5 / 1.568 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-1112782 according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | neos-pseudoapplication-89 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 0.342396 | 1 |
| neos-pseudoapplication-74 | Jeff Linderoth | (None provided) | 1.400107 | 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 | 1.512261 | 3 | |
| neos-pseudoapplication-2 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.563212 | 4 | |
| supportvectormachine | Toni Sorrell | Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization | 1.567769 | 5 |
