neos-3762025-ognon: Instance-to-Instance Comparison Results

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

Parent Instance (neos-3762025-ognon)

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

neos-3762025-ognon Raw neos-3762025-ognon Decomposed neos-3762025-ognon Composite of MIC top 5 neos-3762025-ognon Composite of MIPLIB top 5 neos-3762025-ognon 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-3761878-oglio decomposed umts decomposed ta1-UUM decomposed mitre decomposed neos-2746589-doon decomposed
Name neos-3761878-oglio [MIPLIB] umts [MIPLIB] ta1-UUM [MIPLIB] mitre [MIPLIB] neos-2746589-doon [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 / 0.354 2 / 0.819 3 / 0.886 4 / 0.912 5 / 0.964
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3761878-oglio raw umts raw ta1-UUM raw mitre raw neos-2746589-doon 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-3761878-oglio decomposed neos-3699377-maori decomposed neos-3703351-marne decomposed neos-4264598-oueme decomposed app3 decomposed
Name neos-3761878-oglio [MIPLIB] neos-3699377-maori [MIPLIB] neos-3703351-marne [MIPLIB] neos-4264598-oueme [MIPLIB] app3 [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 / 0.354 191 / 1.218 238 / 1.287 620 / 1.746 771 / 1.991
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-3761878-oglio raw neos-3699377-maori raw neos-3703351-marne raw neos-4264598-oueme raw app3 raw

Instance Summary

The table below contains summary information for neos-3762025-ognon, the five most similar instances to neos-3762025-ognon according to the MIC, and the five most similar instances to neos-3762025-ognon according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-3762025-ognon [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 neos-3761878-oglio [MIPLIB] Jeff Linderoth (None provided) 0.353558 1
umts [MIPLIB] C. Polo Telecommunications network model 0.818726 2
ta1-UUM [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.885704 3
mitre [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.911721 4
neos-2746589-doon [MIPLIB] Jeff Linderoth (None provided) 0.963615 5
MIPLIB Top 5 neos-3761878-oglio [MIPLIB] Jeff Linderoth (None provided) 0.353558 1
neos-3699377-maori [MIPLIB] Jeff Linderoth (None provided) 1.217996 191
neos-3703351-marne [MIPLIB] Jeff Linderoth (None provided) 1.287280 238
neos-4264598-oueme [MIPLIB] Jeff Linderoth (None provided) 1.746053 620
app3 [MIPLIB] Emilie Danna The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB. 1.990773 771


neos-3762025-ognon: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-3
Assigned Model Group Rank/ISS in the MIC: 188 / 3.365

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: supportvectormachine Model group: noip Model group: mapping Model group: neos-pseudoapplication-2 Model group: sp_product
Name supportvectormachine noip mapping neos-pseudoapplication-2 sp_product
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 / 1.540 2 / 1.559 3 / 1.583 4 / 1.616 5 / 1.623

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3762025-ognon according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 supportvectormachine Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 1.540207 1
noip Christopher Hojny integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists 1.558779 2
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 1.583410 3
neos-pseudoapplication-2 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.615619 4
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.623451 5