bienst2: Instance-to-Instance Comparison Results

Type: Instance
Submitter: H. Mittelmann
Description: Relaxed version of problem bienst
MIPLIB Entry

Parent Instance (bienst2)

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

bienst2 Raw bienst2 Decomposed bienst2 Composite of MIC top 5 bienst2 Composite of MIPLIB top 5 bienst2 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.
bienst1 decomposed newdano decomposed opt1217 decomposed supportcase4 decomposed pg decomposed
Name bienst1 [MIPLIB] newdano [MIPLIB] opt1217 [MIPLIB] supportcase4 [MIPLIB] pg [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 / 0.131 2 / 0.224 3 / 0.535 4 / 0.538 5 / 0.592
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
bienst1 raw newdano raw opt1217 raw supportcase4 raw pg 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.
bienst1 decomposed newdano decomposed danoint decomposed rout decomposed ns1430538 decomposed
Name bienst1 [MIPLIB] newdano [MIPLIB] danoint [MIPLIB] rout [MIPLIB] ns1430538 [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.
1 / 0.131 2 / 0.224 59 / 1.004 78 / 1.058 226 / 1.299
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
bienst1 raw newdano raw danoint raw rout raw ns1430538 raw

Instance Summary

The table below contains summary information for bienst2, the five most similar instances to bienst2 according to the MIC, and the five most similar instances to bienst2 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance bienst2 [MIPLIB] H. Mittelmann Relaxed version of problem bienst 0.000000 -
MIC Top 5 bienst1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.130710 1
newdano [MIPLIB] Daniel Bienstock Telecommunications applications 0.223887 2
opt1217 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.534581 3
supportcase4 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 0.537844 4
pg [MIPLIB] M. Dawande Multiproduct partial shipment model 0.592020 5
MIPLIB Top 5 bienst1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.130710 1
newdano [MIPLIB] Daniel Bienstock Telecommunications applications 0.223887 2
danoint [MIPLIB] Daniel Bienstock Telecommunications applications 1.003980 59
rout [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.058180 78
ns1430538 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application. 1.299055 226


bienst2: 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: pizza Model group: mc Model group: neos-pseudoapplication-74 Model group: mario Model group: neos-pseudoapplication-97
Name pizza mc neos-pseudoapplication-74 mario neos-pseudoapplication-97
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 / 1.228 2 / 1.245 3 / 1.340 4 / 1.372 5 / 1.383

Model Group Summary

The table below contains summary information for the five most similar model groups to bienst2 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 pizza 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: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 1.228360 1
mc F. Ortega, L. Wolsey Fixed cost network flow problems 1.245070 2
neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.340161 3
mario Gleb Belov These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/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 1.371758 4
neos-pseudoapplication-97 Jeff Linderoth (None provided) 1.383006 5