×
neos-848198: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (neos-848198)
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-952987 [MIPLIB] | ger50-17-ptp-pop-6t [MIPLIB] | ran14x18-disj-8 [MIPLIB] | neos-3437289-erdre [MIPLIB] | neos-1445532 [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 / 0.671 | 2 / 0.734 | 3 / 0.958 | 4 / 1.004 | 5 / 1.017 | |
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-2978205-isar [MIPLIB] | app3 [MIPLIB] | khb05250 [MIPLIB] | neos-4954672-berkel [MIPLIB] | neos-480878 [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.
|
12 / 1.077 | 30 / 1.294 | 64 / 1.440 | 450 / 1.896 | 915 / 2.253 | |
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-848198, the five most similar instances to neos-848198 according to the MIC, and the five most similar instances to neos-848198 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
Parent Instance | neos-848198 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | neos-952987 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.671103 | 1 |
ger50-17-ptp-pop-6t [MIPLIB] | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 0.734057 | 2 | |
ran14x18-disj-8 [MIPLIB] | J. Aronson | Fixed charge transportation problem | 0.958014 | 3 | |
neos-3437289-erdre [MIPLIB] | Jeff Linderoth | (None provided) | 1.004144 | 4 | |
neos-1445532 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.016687 | 5 | |
MIPLIB Top 5 | neos-2978205-isar [MIPLIB] | Jeff Linderoth | (None provided) | 1.077173 | 12 |
app3 [MIPLIB] | Emilie Danna | The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB. | 1.294493 | 30 | |
khb05250 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.439531 | 64 | |
neos-4954672-berkel [MIPLIB] | Jeff Linderoth | (None provided) | 1.896005 | 450 | |
neos-480878 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.253311 | 915 |
neos-848198: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-3 |
Assigned Model Group Rank/ISS in the MIC: | 3 / 1.692 |
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-22 | ger50 | neos-pseudoapplication-3 | ran | neos-pseudoapplication-19 | |
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 / 1.129 | 2 / 1.332 | 3 / 1.693 | 4 / 1.736 | 5 / 1.755 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-848198 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
MIC Top 5 | neos-pseudoapplication-22 | Jeff Linderoth | (None provided) | 1.129495 | 1 |
ger50 | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 1.331659 | 2 | |
neos-pseudoapplication-3 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.692842 | 3 | |
ran | J. Aronson | Fixed charge transportation problem | 1.736013 | 4 | |
neos-pseudoapplication-19 | Hans Mittelmann | similar to model ns5223573 submitted in January Solved with ParaSCIP in 525353 seconds with 71 solvers(72 cores). | 1.754824 | 5 |