neos-3048764-nadi: Instance-to-Instance Comparison Results

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

Parent Instance (neos-3048764-nadi)

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

neos-3048764-nadi Raw neos-3048764-nadi Decomposed neos-3048764-nadi Composite of MIC top 5 neos-3048764-nadi Composite of MIPLIB top 5 neos-3048764-nadi 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.
ns4-pr6 decomposed mappingmesh3x3mpeg2i decomposed neos-914441 decomposed nu4-pr9 decomposed neos-827175 decomposed
Name ns4-pr6 [MIPLIB] mappingmesh3x3mpeg2i [MIPLIB] neos-914441 [MIPLIB] nu4-pr9 [MIPLIB] neos-827175 [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 / 0.358 2 / 0.405 3 / 0.407 4 / 0.409 5 / 0.413
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
ns4-pr6 raw mappingmesh3x3mpeg2i raw neos-914441 raw nu4-pr9 raw neos-827175 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.
neos-4290317-perth decomposed beavma decomposed ran13x13 decomposed bmoipr2 decomposed dsbmip decomposed
Name neos-4290317-perth [MIPLIB] beavma [MIPLIB] ran13x13 [MIPLIB] bmoipr2 [MIPLIB] dsbmip [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.
56 / 0.618 130 / 0.855 152 / 0.932 533 / 1.566 594 / 1.639
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-4290317-perth raw beavma raw ran13x13 raw bmoipr2 raw dsbmip raw

Instance Summary

The table below contains summary information for neos-3048764-nadi, the five most similar instances to neos-3048764-nadi according to the MIC, and the five most similar instances to neos-3048764-nadi according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-3048764-nadi [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 ns4-pr6 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.357788 1
mappingmesh3x3mpeg2i [MIPLIB] Gleb Belov These are the instances from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these instances can only be handled by solvers accepting indicator constraints. For instances compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the instances with full paths to mzn/dzn files of each instance per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual instance as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 0.405495 2
neos-914441 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.406542 3
nu4-pr9 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.409223 4
neos-827175 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.412663 5
MIPLIB Top 5 neos-4290317-perth [MIPLIB] Jeff Linderoth (None provided) 0.617602 56
beavma [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.855264 130
ran13x13 [MIPLIB] J. Aronson Fixed charge transportation problem 0.932392 152
bmoipr2 [MIPLIB] Sean MacDermant BMO IPR2 Logistics 1.566002 533
dsbmip [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.639335 594


neos-3048764-nadi: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-43
Assigned Model Group Rank/ISS in the MIC: 98 / 2.461

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: radiation Model group: n37 Model group: graphs Model group: mapping Model group: nus-prxy
Name radiation n37 graphs mapping nus-prxy
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 / 0.621 2 / 0.644 3 / 0.721 4 / 0.727 5 / 0.789

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3048764-nadi according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 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 0.620753 1
n37 J. Aronson Fixed charge transportation problem 0.643860 2
graphs Michael Bastubbe Packing Cuts in Undirected Graphs. Models are described in 4.1. 0.721019 3
mapping Gleb Belov These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual model as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 0.727448 4
nus-prxy MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.788875 5