neos4: Instance-to-Instance Comparison Results

Type: Instance
Submitter: NEOS Server Submission
Description: Imported from the MIPLIB2010 submissions.
MIPLIB Entry

Parent Instance (neos4)

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

neos4 Raw neos4 Decomposed neos4 Composite of MIC top 5 neos4 Composite of MIPLIB top 5 neos4 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.
b-ball decomposed stein15inf decomposed stein9inf decomposed enlight4 decomposed gr4x6 decomposed
Name b-ball [MIPLIB] stein15inf [MIPLIB] stein9inf [MIPLIB] enlight4 [MIPLIB] gr4x6 [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 / 0.977 2 / 1.007 3 / 1.093 4 / 1.100 5 / 1.113
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
b-ball raw stein15inf raw stein9inf raw enlight4 raw gr4x6 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-3615091-sutlej decomposed neos-3068746-nene decomposed neos-3734794-moppy decomposed ta2-UUE decomposed neos-3355120-tarago decomposed
Name neos-3615091-sutlej [MIPLIB] neos-3068746-nene [MIPLIB] neos-3734794-moppy [MIPLIB] ta2-UUE [MIPLIB] neos-3355120-tarago [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.
162 / 1.314 330 / 1.450 381 / 1.481 622 / 1.682 895 / 2.429
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-3615091-sutlej raw neos-3068746-nene raw neos-3734794-moppy raw ta2-UUE raw neos-3355120-tarago raw

Instance Summary

The table below contains summary information for neos4, the five most similar instances to neos4 according to the MIC, and the five most similar instances to neos4 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos4 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 b-ball [MIPLIB] Christopher Cullenbine It is a very simple problem, yet CPLEX will not close the MIPGAP. CPLEX seems to get stuck in a loop or something. 0.976502 1
stein15inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.007274 2
stein9inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.092535 3
enlight4 [MIPLIB] A. Zymolka Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions. 1.100114 4
gr4x6 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.112966 5
MIPLIB Top 5 neos-3615091-sutlej [MIPLIB] Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 1.313511 162
neos-3068746-nene [MIPLIB] Jeff Linderoth (None provided) 1.450409 330
neos-3734794-moppy [MIPLIB] Jeff Linderoth (None provided) 1.481444 381
ta2-UUE [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.681791 622
neos-3355120-tarago [MIPLIB] Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 2.429451 895


neos4: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-65
Assigned Model Group Rank/ISS in the MIC: 1 / 0.000

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-65 Model group: scp Model group: neos-pseudoapplication-109 Model group: markshare Model group: stein
Name neos-pseudoapplication-65 scp neos-pseudoapplication-109 markshare stein
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 / 0.001 2 / 1.674 3 / 1.772 4 / 1.816 5 / 1.850

Model Group Summary

The table below contains summary information for the five most similar model groups to neos4 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-65 NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000691 1
scp Shunji Umetani This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 1.673836 2
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.772484 3
markshare G. Cornuéjols, M. Dawande Market sharing problem 1.815811 4
stein MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.850498 5