neos-3214367-sovi: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Jeff Linderoth
Description: Solved in 21 days with four restarted runs of ParaXpress.
MIPLIB Entry

Parent Instance (neos-3214367-sovi)

All other instances below were be compared against this "query" instance.

neos-3214367-sovi Raw neos-3214367-sovi Decomposed neos-3214367-sovi Composite of MIC top 5 neos-3214367-sovi Composite of MIPLIB top 5 neos-3214367-sovi Model Group Composite
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.
neos-3216931-puriri decomposed neos-1171737 decomposed neos-954925 decomposed neos-957143 decomposed nsrand-ipx decomposed
Name neos-3216931-puriri [MIPLIB] neos-1171737 [MIPLIB] neos-954925 [MIPLIB] neos-957143 [MIPLIB] nsrand-ipx [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 / 0.809 2 / 1.395 3 / 1.552 4 / 1.639 5 / 1.644
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3216931-puriri raw neos-1171737 raw neos-954925 raw neos-957143 raw nsrand-ipx raw

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.
neos-3216931-puriri decomposed nursesched-sprint02 decomposed nursesched-medium04 decomposed neos-1223462 decomposed neos-932721 decomposed
Name neos-3216931-puriri [MIPLIB] nursesched-sprint02 [MIPLIB] nursesched-medium04 [MIPLIB] neos-1223462 [MIPLIB] neos-932721 [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 / 0.809 190 / 2.424 211 / 2.471 326 / 2.632 453 / 2.797
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-3216931-puriri raw nursesched-sprint02 raw nursesched-medium04 raw neos-1223462 raw neos-932721 raw

Instance Summary

The table below contains summary information for neos-3214367-sovi, the five most similar instances to neos-3214367-sovi according to the MIC, and the five most similar instances to neos-3214367-sovi according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-3214367-sovi [MIPLIB] Jeff Linderoth Solved in 21 days with four restarted runs of ParaXpress. 0.000000 -
MIC Top 5 neos-3216931-puriri [MIPLIB] Jeff Linderoth (None provided) 0.809278 1
neos-1171737 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 1.394847 2
neos-954925 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.552103 3
neos-957143 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.639375 4
nsrand-ipx [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.643720 5
MIPLIB Top 5 neos-3216931-puriri [MIPLIB] Jeff Linderoth (None provided) 0.809278 1
nursesched-sprint02 [MIPLIB] Haroldo Gambini Santos Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 2.424188 190
nursesched-medium04 [MIPLIB] Haroldo Gambini Santos Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 2.470838 211
neos-1223462 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 2.632008 326
neos-932721 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 2.797094 453


neos-3214367-sovi: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-56
Assigned Model Group Rank/ISS in the MIC: 1 / 1.527

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.
Model group: neos-pseudoapplication-56 Model group: neos-pseudoapplication-80 Model group: neos-pseudoapplication-26 Model group: neos-pseudoapplication-11 Model group: app
Name neos-pseudoapplication-56 neos-pseudoapplication-80 neos-pseudoapplication-26 neos-pseudoapplication-11 app
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 / 1.527 2 / 1.856 3 / 1.861 4 / 1.866 5 / 2.072

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3214367-sovi according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-56 Jeff Linderoth (None provided) 1.527027 1
neos-pseudoapplication-80 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.856410 2
neos-pseudoapplication-26 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.860828 3
neos-pseudoapplication-11 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.865802 4
app Emilie Danna The archive contains 5 models 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. 2.072447 5


Updated August 16, 2019