neos-807639: Instance-to-Instance Comparison Results

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

Parent Instance (neos-807639)

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

neos-807639 Raw neos-807639 Decomposed neos-807639 Composite of MIC top 5 neos-807639 Composite of MIPLIB top 5 neos-807639 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-3627168-kasai decomposed f2gap40400 decomposed var-smallemery-m6j6 decomposed lotsize decomposed gen decomposed
Name neos-3627168-kasai [MIPLIB] f2gap40400 [MIPLIB] var-smallemery-m6j6 [MIPLIB] lotsize [MIPLIB] gen [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 / 1.157 2 / 1.168 3 / 1.184 4 / 1.197 5 / 1.213
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3627168-kasai raw f2gap40400 raw var-smallemery-m6j6 raw lotsize raw gen 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.
ic97_tension decomposed qiu decomposed unitcal_7 decomposed neos-4954672-berkel decomposed neos-4650160-yukon decomposed
Name ic97_tension [MIPLIB] qiu [MIPLIB] unitcal_7 [MIPLIB] neos-4954672-berkel [MIPLIB] neos-4650160-yukon [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.
63 / 1.326 70 / 1.334 151 / 1.382 298 / 1.461 687 / 1.754
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
ic97_tension raw qiu raw unitcal_7 raw neos-4954672-berkel raw neos-4650160-yukon raw

Instance Summary

The table below contains summary information for neos-807639, the five most similar instances to neos-807639 according to the MIC, and the five most similar instances to neos-807639 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-807639 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 neos-3627168-kasai [MIPLIB] Jeff Linderoth (None provided) 1.156936 1
f2gap40400 [MIPLIB] Salim Haddadi Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) 1.167523 2
var-smallemery-m6j6 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 1.183855 3
lotsize [MIPLIB] Dinakar Gade, Simge Kucukyavuz Multi-item lot sizing with service level constraints 1.197184 4
gen [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.213306 5
MIPLIB Top 5 ic97_tension [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.325545 63
qiu [MIPLIB] Y. Chiu, J. Eckstein Fiber-optic network design, logical SONET ring level 1.333817 70
unitcal_7 [MIPLIB] R. O’Neill California seven day unit commitment problem 1.382192 151
neos-4954672-berkel [MIPLIB] Jeff Linderoth (None provided) 1.461030 298
neos-4650160-yukon [MIPLIB] Jeff Linderoth (None provided) 1.753896 687


neos-807639: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-79
Assigned Model Group Rank/ISS in the MIC: 2 / 1.633

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: ustun Model group: neos-pseudoapplication-79 Model group: allcolor Model group: scp Model group: enlight
Name ustun neos-pseudoapplication-79 allcolor scp enlight
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 / 1.621 2 / 1.633 3 / 1.656 4 / 1.694 5 / 1.708

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-807639 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 ustun Berk Ustun MIP to create optimized data-driven scoring systems. See: https://github.com/ustunb/miplib2017-slim#miplib2017-slim for a description. 1.620524 1
neos-pseudoapplication-79 Jeff Linderoth (None provided) 1.633431 2
allcolor Domenico Salvagnin Prepack optimization model. 1.656338 3
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 1.694194 4
enlight A. Zymolka Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions. 1.708079 5