neos-3709489-menik: Instance-to-Instance Comparison Results

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

Parent Instance (neos-3709489-menik)

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

neos-3709489-menik Raw neos-3709489-menik Decomposed neos-3709489-menik Composite of MIC top 5 neos-3709489-menik Composite of MIPLIB top 5 neos-3709489-menik 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-3656078-kumeu decomposed neos-3654993-kolva decomposed neos-3672928-linge decomposed opt1217 decomposed pg decomposed
Name neos-3656078-kumeu [MIPLIB] neos-3654993-kolva [MIPLIB] neos-3672928-linge [MIPLIB] opt1217 [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 / 0.628 2 / 0.632 3 / 0.663 4 / 0.924 5 / 0.945
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3656078-kumeu raw neos-3654993-kolva raw neos-3672928-linge raw opt1217 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.
neos-3654993-kolva decomposed neos-3672928-linge decomposed neos-3699044-maipo decomposed minutedispatchstrategy decomposed l2p12 decomposed
Name neos-3654993-kolva [MIPLIB] neos-3672928-linge [MIPLIB] neos-3699044-maipo [MIPLIB] minutedispatchstrategy [MIPLIB] l2p12 [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.
2 / 0.632 3 / 0.663 76 / 1.197 618 / 1.663 678 / 1.718
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-3654993-kolva raw neos-3672928-linge raw neos-3699044-maipo raw minutedispatchstrategy raw l2p12 raw

Instance Summary

The table below contains summary information for neos-3709489-menik, the five most similar instances to neos-3709489-menik according to the MIC, and the five most similar instances to neos-3709489-menik according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-3709489-menik [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 neos-3656078-kumeu [MIPLIB] Jeff Linderoth (None provided) 0.627572 1
neos-3654993-kolva [MIPLIB] Jeff Linderoth (None provided) 0.631984 2
neos-3672928-linge [MIPLIB] Jeff Linderoth (None provided) 0.662678 3
opt1217 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.923951 4
pg [MIPLIB] M. Dawande Multiproduct partial shipment model 0.944940 5
MIPLIB Top 5 neos-3654993-kolva [MIPLIB] Jeff Linderoth (None provided) 0.631984 2
neos-3672928-linge [MIPLIB] Jeff Linderoth (None provided) 0.662678 3
neos-3699044-maipo [MIPLIB] Jeff Linderoth (None provided) 1.197247 76
minutedispatchstrategy [MIPLIB] Mark Husted Dispatch Strategy for a small micro-grid 1.662697 618
l2p12 [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 1.717969 678


neos-3709489-menik: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-44
Assigned Model Group Rank/ISS in the MIC: 80 / 2.147

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-97 Model group: neos-pseudoapplication-1 Model group: mario Model group: mc Model group: pizza
Name neos-pseudoapplication-97 neos-pseudoapplication-1 mario mc pizza
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 / 0.927 2 / 1.353 3 / 1.412 4 / 1.434 5 / 1.513

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3709489-menik according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-97 Jeff Linderoth (None provided) 0.927438 1
neos-pseudoapplication-1 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.352806 2
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: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 1.412008 3
mc F. Ortega, L. Wolsey Fixed cost network flow problems 1.434027 4
pizza Gleb Belov These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/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 1.513114 5