×
neos-585192: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (neos-585192)
All other instances below were be compared against this "query" instance.![]() ![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Raw
This is the CCM image before the decomposition procedure has been applied.
|
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.
|
Composite of MIC Top 5
Composite of the five decomposed CCM images from the MIC Top 5.
|
Composite of MIPLIB Top 5
Composite of the five decomposed CCM images from the MIPLIB Top 5.
|
Model Group Composite Image
Composite of the decomposed CCM images for every instance in the same model group as this query.
|
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.
|
![]() |
![]() |
![]() |
![]() |
![]() |
Name | neos-585467 [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.
|
1 / 0.296 | 2 / 1.123 | 3 / 1.145 | 4 / 1.147 | 5 / 1.149 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
|
![]() |
![]() |
![]() |
![]() |
![]() |
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.
|
![]() |
![]() |
![]() |
![]() |
![]() |
Name | neos-585467 [MIPLIB] | Test3 [MIPLIB] | traininstance6 [MIPLIB] | traininstance2 [MIPLIB] | minutedispatchstrategy [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.
|
1 / 0.296 | 329 / 1.531 | 600 / 1.732 | 641 / 1.781 | 645 / 1.785 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
|
![]() |
![]() |
![]() |
![]() |
![]() |
Instance Summary
The table below contains summary information for neos-585192, the five most similar instances to neos-585192 according to the MIC, and the five most similar instances to neos-585192 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
Parent Instance | neos-585192 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | neos-585467 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.296412 | 1 |
neos-3065804-namu [MIPLIB] | Jeff Linderoth | (None provided) | 1.123218 | 2 | |
newdano [MIPLIB] | Daniel Bienstock | Telecommunications applications | 1.144999 | 3 | |
bienst2 [MIPLIB] | H. Mittelmann | Relaxed version of problem bienst | 1.147404 | 4 | |
bienst1 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.148763 | 5 | |
MIPLIB Top 5 | neos-585467 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.296412 | 1 |
Test3 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.530724 | 329 | |
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 | 1.732308 | 600 | |
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 | 1.780648 | 641 | |
minutedispatchstrategy [MIPLIB] | Mark Husted | Dispatch Strategy for a small micro-grid | 1.784850 | 645 |
neos-585192: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-92 |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.435 |
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.
|
![]() |
![]() |
![]() |
![]() |
![]() |
Name | neos-pseudoapplication-92 | neos-pseudoapplication-109 | neos-pseudoapplication-7 | supportvectormachine | neos-pseudoapplication-40 | |
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.
|
1 / 0.435 | 2 / 1.679 | 3 / 1.683 | 4 / 1.723 | 5 / 1.723 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-585192 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
MIC Top 5 | neos-pseudoapplication-92 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.435358 | 1 |
neos-pseudoapplication-109 | Jeff Linderoth | (None provided) | 1.678938 | 2 | |
neos-pseudoapplication-7 | Jeff Linderoth | (None provided) | 1.682521 | 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 | 1.723434 | 4 | |
neos-pseudoapplication-40 | Jeff Linderoth | (None provided) | 1.723460 | 5 |