opt1217: Instance-to-Instance Comparison Results

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

Parent Instance (opt1217)

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

opt1217 Raw opt1217 Decomposed opt1217 Composite of MIC top 5 opt1217 Composite of MIPLIB top 5 opt1217 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.
pg decomposed supportcase4 decomposed bienst1 decomposed bienst2 decomposed newdano decomposed
Name pg [MIPLIB] supportcase4 [MIPLIB] bienst1 [MIPLIB] bienst2 [MIPLIB] newdano [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 / 0.497 2 / 0.531 3 / 0.532 4 / 0.535 5 / 0.546
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
pg raw supportcase4 raw bienst1 raw bienst2 raw newdano 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-911970 decomposed neos-1430701 decomposed mad decomposed fiball decomposed neos-1442119 decomposed
Name neos-911970 [MIPLIB] neos-1430701 [MIPLIB] mad [MIPLIB] fiball [MIPLIB] neos-1442119 [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.
24 / 0.773 180 / 1.103 263 / 1.191 291 / 1.216 583 / 1.465
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-911970 raw neos-1430701 raw mad raw fiball raw neos-1442119 raw

Instance Summary

The table below contains summary information for opt1217, the five most similar instances to opt1217 according to the MIC, and the five most similar instances to opt1217 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance opt1217 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 pg [MIPLIB] M. Dawande Multiproduct partial shipment model 0.497275 1
supportcase4 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 0.531392 2
bienst1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.532184 3
bienst2 [MIPLIB] H. Mittelmann Relaxed version of problem bienst 0.534581 4
newdano [MIPLIB] Daniel Bienstock Telecommunications applications 0.545544 5
MIPLIB Top 5 neos-911970 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.772655 24
neos-1430701 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.102684 180
mad [MIPLIB] Koichi Fujii Mean-Absolute Deviation Model for Car Dealerships 1.191176 263
fiball [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.216130 291
neos-1442119 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 1.464901 583


opt1217: 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: neos-pseudoapplication-74 Model group: pizza Model group: mc Model group: mario Model group: neos-pseudoapplication-40
Name neos-pseudoapplication-74 pizza mc mario neos-pseudoapplication-40
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 / 1.027 2 / 1.176 3 / 1.217 4 / 1.330 5 / 1.359

Model Group Summary

The table below contains summary information for the five most similar model groups to opt1217 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.026666 1
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: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 1.175821 2
mc F. Ortega, L. Wolsey Fixed cost network flow problems 1.216854 3
mario Gleb Belov These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/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 1.329626 4
neos-pseudoapplication-40 Jeff Linderoth (None provided) 1.358657 5