sing5: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Daniel Espinoza
Description: Imported from the MIPLIB2010 submissions.
MIPLIB Entry

Parent Instance (sing5)

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

sing5 Raw sing5 Decomposed sing5 Composite of MIC top 5 sing5 Composite of MIPLIB top 5 sing5 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.
sing17 decomposed sing11 decomposed neos-941313 decomposed neos2 decomposed sing44 decomposed
Name sing17 [MIPLIB] sing11 [MIPLIB] neos-941313 [MIPLIB] neos2 [MIPLIB] sing44 [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 / 0.357 2 / 0.375 3 / 0.395 4 / 0.405 5 / 0.406
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
sing17 raw sing11 raw neos-941313 raw neos2 raw sing44 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.
sing17 decomposed sing11 decomposed sing44 decomposed sing326 decomposed satellites2-60-fs decomposed
Name sing17 [MIPLIB] sing11 [MIPLIB] sing44 [MIPLIB] sing326 [MIPLIB] satellites2-60-fs [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 / 0.357 2 / 0.375 5 / 0.406 9 / 0.447 611 / 1.643
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
sing17 raw sing11 raw sing44 raw sing326 raw satellites2-60-fs raw

Instance Summary

The table below contains summary information for sing5, the five most similar instances to sing5 according to the MIC, and the five most similar instances to sing5 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance sing5 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 sing17 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.356910 1
sing11 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.374957 2
neos-941313 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 0.394911 3
neos2 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.404586 4
sing44 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.405978 5
MIPLIB Top 5 sing17 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.356910 1
sing11 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.374957 2
sing44 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.405978 5
sing326 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.446678 9
satellites2-60-fs [MIPLIB] He Renjie Satellite scheduling instance 1.642670 611


sing5: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: sing
Assigned Model Group Rank/ISS in the MIC: 5 / 0.755

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: sp_product Model group: n37 Model group: map Model group: allcolor Model group: sing
Name sp_product n37 map allcolor sing
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 / 0.601 2 / 0.696 3 / 0.707 4 / 0.715 5 / 0.755

Model Group Summary

The table below contains summary information for the five most similar model groups to sing5 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.601078 1
n37 J. Aronson Fixed charge transportation problem 0.696144 2
map Kiyan Ahmadizadeh Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem 0.707254 3
allcolor Domenico Salvagnin Prepack optimization model. 0.714518 4
sing Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.755245 5


Updated August 16, 2019