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neos-585467: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (neos-585467)
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-585192 [MIPLIB] | neos-3065804-namu [MIPLIB] | newdano [MIPLIB] | bienst2 [MIPLIB] | bienst1 [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 / 0.296 | 2 / 1.154 | 3 / 1.175 | 4 / 1.178 | 5 / 1.178 | |
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-585192 [MIPLIB] | Test3 [MIPLIB] | neos-5075914-elvire [MIPLIB] | traininstance6 [MIPLIB] | traininstance2 [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 / 0.296 | 327 / 1.555 | 586 / 1.738 | 595 / 1.745 | 638 / 1.796 | |
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-585467, the five most similar instances to neos-585467 according to the MIC, and the five most similar instances to neos-585467 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-585467 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | neos-585192 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.296412 | 1 |
neos-3065804-namu [MIPLIB] | Jeff Linderoth | (None provided) | 1.154263 | 2 | |
newdano [MIPLIB] | Daniel Bienstock | Telecommunications applications | 1.174981 | 3 | |
bienst2 [MIPLIB] | H. Mittelmann | Relaxed version of problem bienst | 1.177553 | 4 | |
bienst1 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.178359 | 5 | |
MIPLIB Top 5 | neos-585192 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.296412 | 1 |
Test3 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.554788 | 327 | |
neos-5075914-elvire [MIPLIB] | Jeff Linderoth | (None provided) | 1.737598 | 586 | |
traininstance6 [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 | 1.745243 | 595 | |
traininstance2 [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 | 1.796078 | 638 |
neos-585467: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-92 |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.426 |
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-92 | neos-pseudoapplication-109 | neos-pseudoapplication-7 | supportvectormachine | set3 | |
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 / 0.427 | 2 / 1.699 | 3 / 1.715 | 4 / 1.729 | 5 / 1.742 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-585467 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-92 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.426591 | 1 |
neos-pseudoapplication-109 | Jeff Linderoth | (None provided) | 1.699242 | 2 | |
neos-pseudoapplication-7 | Jeff Linderoth | (None provided) | 1.715395 | 3 | |
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 | 1.729392 | 4 | |
set3 | Kerem Akartunali | Multi-item lot-sizing with backlogging. Solved by SCIP 3.1.1 parallelized by UG 0.7.5 linked to CPLEX 12.6 as an LP solver on HLRN III (https://www.hlrn.de/home/view/System3/CrayHardware). Due to time limit restrictions, four repeated runs, each starting from the checkpointing file of the previous run, were done. Each run had a time limit of 12 hours while using 6144 (runs 1) or 3072 cores (run 2 - 4). | 1.742183 | 5 |