hypothyroid-k1: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Gleb Belov
Description: 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
MIPLIB Entry

Parent Instance (hypothyroid-k1)

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

hypothyroid-k1 Raw hypothyroid-k1 Decomposed hypothyroid-k1 Composite of MIC top 5 hypothyroid-k1 Composite of MIPLIB top 5 hypothyroid-k1 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-3611447-jijia decomposed neos-3610040-iskar decomposed neos-3611689-kaihu decomposed icir97_potential decomposed neos-3610051-istra decomposed
Name neos-3611447-jijia [MIPLIB] neos-3610040-iskar [MIPLIB] neos-3611689-kaihu [MIPLIB] icir97_potential [MIPLIB] neos-3610051-istra [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 / 0.799 2 / 0.820 3 / 0.826 4 / 0.870 5 / 0.882
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3611447-jijia raw neos-3610040-iskar raw neos-3611689-kaihu raw icir97_potential raw neos-3610051-istra 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.
neos8 decomposed splice1k1 decomposed k1mushroom decomposed neos-738098 decomposed usafa decomposed
Name neos8 [MIPLIB] splice1k1 [MIPLIB] k1mushroom [MIPLIB] neos-738098 [MIPLIB] neos8** [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.
339 / 1.369 362 / 1.390 539 / 1.544 735 / 1.817 N.A.** / N.A.**
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos8 raw splice1k1 raw k1mushroom raw neos-738098 raw usafa raw

Instance Summary

The table below contains summary information for hypothyroid-k1, the five most similar instances to hypothyroid-k1 according to the MIC, and the five most similar instances to hypothyroid-k1 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance hypothyroid-k1 [MIPLIB] 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 0.000000 -
MIC Top 5 neos-3611447-jijia [MIPLIB] Jeff Linderoth (None provided) 0.799120 1
neos-3610040-iskar [MIPLIB] Jeff Linderoth (None provided) 0.819976 2
neos-3611689-kaihu [MIPLIB] Jeff Linderoth (None provided) 0.826382 3
icir97_potential [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.869527 4
neos-3610051-istra [MIPLIB] Jeff Linderoth (None provided) 0.881781 5
MIPLIB Top 5 neos8 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.369236 339
splice1k1 [MIPLIB] 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 1.390248 362
k1mushroom [MIPLIB] 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 1.544216 539
neos-738098 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 1.817354 735
neos8** [MIPLIB] Christopher Daniel Richards Population Complete Timetabling Problem for the United States Air Force Academy N.A.** N.A.**


hypothyroid-k1: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: hypothyroid
Assigned Model Group Rank/ISS in the MIC: 1 / 0.0

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: hypothyroid Model group: seqsolve Model group: scp Model group: neos-pseudoapplication-2 Model group: neos-pseudoapplication-91
Name hypothyroid seqsolve scp neos-pseudoapplication-2 neos-pseudoapplication-91
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 / 0.000 2 / 1.398 3 / 1.413 4 / 1.429 5 / 1.435

Model Group Summary

The table below contains summary information for the five most similar model groups to hypothyroid-k1 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 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 0.000000 1
seqsolve Irv Lustig The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file. 1.397736 2
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 1.413001 3
neos-pseudoapplication-2 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.428540 4
neos-pseudoapplication-91 Jeff Linderoth (None provided) 1.434627 5


** usafa could not be decomposed by GCG, and was not included in our dataset.