neos-2978193-inde: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Jeff Linderoth
Description: (None provided)
MIPLIB Entry

Parent Instance (neos-2978193-inde)

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

neos-2978193-inde Raw neos-2978193-inde Decomposed neos-2978193-inde Composite of MIC top 5 neos-2978193-inde Composite of MIPLIB top 5 neos-2978193-inde 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.
gen-ip036 decomposed gen-ip021 decomposed gen-ip002 decomposed gen-ip016 decomposed neos5 decomposed
Name gen-ip036 [MIPLIB] gen-ip021 [MIPLIB] gen-ip002 [MIPLIB] gen-ip016 [MIPLIB] neos5 [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 / 1.037 2 / 1.044 3 / 1.057 4 / 1.066 5 / 1.091
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
gen-ip036 raw gen-ip021 raw gen-ip002 raw gen-ip016 raw neos5 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.
mad decomposed neos-2978205-isar decomposed neos-911970 decomposed neos-503737 decomposed neos9 decomposed
Name mad [MIPLIB] neos-2978205-isar [MIPLIB] neos-911970 [MIPLIB] neos-503737 [MIPLIB] neos9 [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.
24 / 1.321 49 / 1.457 127 / 1.602 160 / 1.632 565 / 1.807
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
mad raw neos-2978205-isar raw neos-911970 raw neos-503737 raw neos9 raw

Instance Summary

The table below contains summary information for neos-2978193-inde, the five most similar instances to neos-2978193-inde according to the MIC, and the five most similar instances to neos-2978193-inde according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-2978193-inde [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 gen-ip036 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.037110 1
gen-ip021 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.044480 2
gen-ip002 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.057010 3
gen-ip016 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. Solved with XPRESS in a few seconds. 1.066110 4
neos5 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.090980 5
MIPLIB Top 5 mad [MIPLIB] Koichi Fujii Mean-Absolute Deviation Model for Car Dealerships 1.321157 24
neos-2978205-isar [MIPLIB] Jeff Linderoth (None provided) 1.457435 49
neos-911970 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.602442 127
neos-503737 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.631579 160
neos9 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.806655 565


neos-2978193-inde: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-5
Assigned Model Group Rank/ISS in the MIC: 223 / 3.427

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: scp Model group: neos-pseudoapplication-21 Model group: markshare Model group: stein Model group: generated
Name scp neos-pseudoapplication-21 markshare stein generated
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 / 1.284 2 / 1.325 3 / 1.423 4 / 1.479 5 / 1.556

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-2978193-inde according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 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 1.284007 1
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.324657 2
markshare G. Cornuéjols, M. Dawande Market sharing problem 1.422892 3
stein MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.478873 4
generated Simon Bowly Randomly generated integer and binary programming models. These results are part of an early phase of work aimed at generating diverse and challenging MIP models for experimental testing. We have aimed to produce small integer and binary programming models which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.555770 5