nexp-150-20-1-5: Instance-to-Instance Comparison Results

Type: Instance
Submitter: MIPLIB submission pool
Description: Imported from the MIPLIB2010 submissions.
MIPLIB Entry

Parent Instance (nexp-150-20-1-5)

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

nexp-150-20-1-5 Raw nexp-150-20-1-5 Decomposed nexp-150-20-1-5 Composite of MIC top 5 nexp-150-20-1-5 Composite of MIPLIB top 5 nexp-150-20-1-5 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.
nexp-150-20-8-5 decomposed neos-3426132-dieze decomposed berlin decomposed seqsolve2short4288 decomposed seqsolve3short4288excess384 decomposed
Name nexp-150-20-8-5 [MIPLIB] neos-3426132-dieze [MIPLIB] berlin [MIPLIB] seqsolve2short4288 [MIPLIB] seqsolve3short4288excess384 [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 / 0.174 2 / 0.314 3 / 0.317 4 / 0.328 5 / 0.329
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
nexp-150-20-8-5 raw neos-3426132-dieze raw berlin raw seqsolve2short4288 raw seqsolve3short4288excess384 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.
berlin decomposed brasil decomposed nexp-50-20-1-1 decomposed mc8 decomposed mc7 decomposed
Name berlin [MIPLIB] brasil [MIPLIB] nexp-50-20-1-1 [MIPLIB] mc8 [MIPLIB] mc7* [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.
3 / 0.317 7 / 0.337 54 / 0.554 228 / 1.083 228* / 1.083*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
berlin raw brasil raw nexp-50-20-1-1 raw mc8 raw mc7 raw

Instance Summary

The table below contains summary information for nexp-150-20-1-5, the five most similar instances to nexp-150-20-1-5 according to the MIC, and the five most similar instances to nexp-150-20-1-5 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance nexp-150-20-1-5 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 nexp-150-20-8-5 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.174109 1
neos-3426132-dieze [MIPLIB] Jeff Linderoth (None provided) 0.313760 2
berlin [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.316670 3
seqsolve2short4288 [MIPLIB] 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. 0.328165 4
seqsolve3short4288excess384 [MIPLIB] 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. 0.329426 5
MIPLIB Top 5 berlin [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.316670 3
brasil [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.336649 7
nexp-50-20-1-1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.553726 54
mc8 [MIPLIB] F. Ortega, L. Wolsey Fixed cost network flow problems 1.083245 228
mc7* [MIPLIB] F. Ortega, L. Wolsey Fixed cost network flow problems 1.083245* 228*


nexp-150-20-1-5: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: exp_and_fc
Assigned Model Group Rank/ISS in the MIC: 16 / 1.385

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: nus-prxy Model group: neos-pseudoapplication-60 Model group: seqsolve Model group: ab Model group: radiation
Name nus-prxy neos-pseudoapplication-60 seqsolve ab radiation
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 / 0.667 2 / 0.930 3 / 0.931 4 / 1.028 5 / 1.036

Model Group Summary

The table below contains summary information for the five most similar model groups to nexp-150-20-1-5 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 nus-prxy MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.666728 1
neos-pseudoapplication-60 NEOS Server Submission Model coming from the NEOS Server with unknown application 0.929503 2
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. 0.930843 3
ab MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.028164 4
radiation 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 1.036022 5


* mc7 is a duplicate of mc8.

Updated August 16, 2019