nb10tb: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Serge Bisaillon
Description: Forestry industry model
MIPLIB Entry

Parent Instance (nb10tb)

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

nb10tb Raw nb10tb Decomposed nb10tb Composite of MIC top 5 nb10tb Composite of MIPLIB top 5 nb10tb 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.
icir97_potential decomposed neos-3611447-jijia decomposed neos-4647032-veleka decomposed neos-3611689-kaihu decomposed neos-3610040-iskar decomposed
Name icir97_potential [MIPLIB] neos-3611447-jijia [MIPLIB] neos-4647032-veleka [MIPLIB] neos-3611689-kaihu [MIPLIB] neos-3610040-iskar [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 / 1.373 2 / 1.432 3 / 1.436 4 / 1.438 5 / 1.444
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
icir97_potential raw neos-3611447-jijia raw neos-4647032-veleka raw neos-3611689-kaihu raw neos-3610040-iskar 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.
unitcal_7 decomposed bmoipr2 decomposed app3 decomposed gasprod2-2 decomposed irish-electricity decomposed
Name unitcal_7 [MIPLIB] bmoipr2 [MIPLIB] app3 [MIPLIB] gasprod2-2 [MIPLIB] irish-electricity [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.
344 / 1.788 495 / 1.857 751 / 2.078 858 / 2.331 901 / 2.508
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
unitcal_7 raw bmoipr2 raw app3 raw gasprod2-2 raw irish-electricity raw

Instance Summary

The table below contains summary information for nb10tb, the five most similar instances to nb10tb according to the MIC, and the five most similar instances to nb10tb according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance nb10tb [MIPLIB] Serge Bisaillon Forestry industry model 0.000000 -
MIC Top 5 icir97_potential [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.372935 1
neos-3611447-jijia [MIPLIB] Jeff Linderoth (None provided) 1.432378 2
neos-4647032-veleka [MIPLIB] Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 1.436012 3
neos-3611689-kaihu [MIPLIB] Jeff Linderoth (None provided) 1.438203 4
neos-3610040-iskar [MIPLIB] Jeff Linderoth (None provided) 1.444310 5
MIPLIB Top 5 unitcal_7 [MIPLIB] R. O’Neill California seven day unit commitment problem 1.788151 344
bmoipr2 [MIPLIB] Sean MacDermant BMO IPR2 Logistics 1.856664 495
app3 [MIPLIB] Emilie Danna The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB. 2.078173 751
gasprod2-2 [MIPLIB] Andrew Stamps Production planning model of a second industrial gas system. Two model instances included. 2.331191 858
irish-electricity [MIPLIB] Paula Carroll Unit Commitment - Irish Test systems We submit a sample Unit Commitment test instance based on an Irish case study. We include a readme file, a solution file, and additional data so that users may generate further UC test instances. 2.508331 901


nb10tb: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: no model group assignment
Assigned Model Group Rank/ISS in the MIC: N.A. / N.A.

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: enlight Model group: neos-pseudoapplication-21 Model group: markshare Model group: hypothyroid
Name scp enlight neos-pseudoapplication-21 markshare hypothyroid
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 / 1.913 2 / 1.926 3 / 1.993 4 / 1.994 5 / 2.016

Model Group Summary

The table below contains summary information for the five most similar model groups to nb10tb 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 1.912793 1
enlight A. Zymolka Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions. 1.926016 2
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.993169 3
markshare G. Cornuéjols, M. Dawande Market sharing problem 1.994282 4
hypothyroid Gleb Belov Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38 2.015963 5