markshare2: Instance-to-Instance Comparison Results

Type: Instance
Submitter: G. Cornuéjols, M. Dawande
Description: Market sharing problem
MIPLIB Entry

Parent Instance (markshare2)

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

markshare2 Raw markshare2 Decomposed markshare2 Composite of MIC top 5 markshare2 Composite of MIPLIB top 5 markshare2 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.
mod008inf decomposed markshare1 decomposed markshare_5_0 decomposed gen-ip054 decomposed stein15inf decomposed
Name mod008inf [MIPLIB] markshare1 [MIPLIB] markshare_5_0 [MIPLIB] gen-ip054 [MIPLIB] stein15inf [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 / 0.506 2 / 0.669 3 / 0.680 4 / 0.746 5 / 0.756
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
mod008inf raw markshare1 raw markshare_5_0 raw gen-ip054 raw stein15inf 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.
markshare1 decomposed markshare_5_0 decomposed markshare_4_0 decomposed gt2 decomposed neos-5045105-creuse decomposed
Name markshare1 [MIPLIB] markshare_5_0 [MIPLIB] markshare_4_0 [MIPLIB] gt2 [MIPLIB] neos-5045105-creuse [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.
2 / 0.669 3 / 0.680 6 / 0.806 17 / 0.919 754 / 1.795
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
markshare1 raw markshare_5_0 raw markshare_4_0 raw gt2 raw neos-5045105-creuse raw

Instance Summary

The table below contains summary information for markshare2, the five most similar instances to markshare2 according to the MIC, and the five most similar instances to markshare2 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance markshare2 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.000000 -
MIC Top 5 mod008inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.505685 1
markshare1 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.669197 2
markshare_5_0 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.679542 3
gen-ip054 [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. 0.745943 4
stein15inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.755767 5
MIPLIB Top 5 markshare1 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.669197 2
markshare_5_0 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.679542 3
markshare_4_0 [MIPLIB] G. Cornuéjols, M. Dawande Market sharing problem 0.806084 6
gt2 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.918728 17
neos-5045105-creuse [MIPLIB] Jeff Linderoth (None provided) 1.795451 754


markshare2: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: markshare
Assigned Model Group Rank/ISS in the MIC: 1 / 0.821

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: markshare Model group: scp Model group: stein Model group: neos-pseudoapplication-74 Model group: neos-pseudoapplication-109
Name markshare scp stein neos-pseudoapplication-74 neos-pseudoapplication-109
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 / 0.821 2 / 1.023 3 / 1.172 4 / 1.173 5 / 1.297

Model Group Summary

The table below contains summary information for the five most similar model groups to markshare2 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 markshare G. Cornuéjols, M. Dawande Market sharing problem 0.821317 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 1.022957 2
stein MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.172380 3
neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.172775 4
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.296737 5