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neos-5045105-creuse: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-5045105-creuse)
All other instances below were be compared against this "query" instance.
Raw
This is the CCM image before the decomposition procedure has been applied.
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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.
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Composite of MIC Top 5
Composite of the five decomposed CCM images from the MIC Top 5.
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Composite of MIPLIB Top 5
Composite of the five decomposed CCM images from the MIPLIB Top 5.
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Model Group Composite Image
Composite of the decomposed CCM images for every instance in the same model group as this query.
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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.
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Name | f2gap201600 [MIPLIB] | ponderthis0517-inf [MIPLIB] | f2000 [MIPLIB] | f2gap801600 [MIPLIB] | neos5 [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.
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1 / 1.155 | 2 / 1.186 | 3 / 1.246 | 4 / 1.283 | 5 / 1.294 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
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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.
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Name | ns1952667 [MIPLIB] | gt2 [MIPLIB] | neos-4736745-arroux [MIPLIB] | neos-4738912-atrato [MIPLIB] | neos-574665 [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.
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16 / 1.359 | 214 / 1.819 | 794 / 2.144 | 817 / 2.153 | 921 / 2.216 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
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Instance Summary
The table below contains summary information for neos-5045105-creuse, the five most similar instances to neos-5045105-creuse according to the MIC, and the five most similar instances to neos-5045105-creuse according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-5045105-creuse [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | f2gap201600 [MIPLIB] | Salim Haddadi | Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 1.154607 | 1 |
ponderthis0517-inf [MIPLIB] | Rob Pratt | Infeasible version of IBM Ponder This problem (with 52 characters and no spaces) from May 2017: https://www.research.ibm.com/haifa/ponderthis/challenges/May2017.html | 1.186204 | 2 | |
f2000 [MIPLIB] | M. Winkler | Reformulated SAT instance from the 2010 SAT conference pseudo-Boolean competition | 1.245765 | 3 | |
f2gap801600 [MIPLIB] | Salim Haddadi | Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 1.282547 | 4 | |
neos5 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.293642 | 5 | |
MIPLIB Top 5 | ns1952667 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 1.358518 | 16 |
gt2 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.819174 | 214 | |
neos-4736745-arroux [MIPLIB] | Jeff Linderoth | (None provided) | 2.144377 | 794 | |
neos-4738912-atrato [MIPLIB] | Jeff Linderoth | (None provided) | 2.153014 | 817 | |
neos-574665 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.215512 | 921 |
neos-5045105-creuse: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-78 |
Assigned Model Group Rank/ISS in the MIC: | 10 / 1.988 |
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.
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Name | generated | f2gap | pb- | independentset | ger50 | |
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.
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1 / 1.827 | 2 / 1.869 | 3 / 1.876 | 4 / 1.882 | 5 / 1.882 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-5045105-creuse according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | generated | Simon Bowly | Randomly generated integer and binary programming models. These results are part of an early phase of work aimed at generating diverse and challenging MIP models for experimental testing. We have aimed to produce small integer and binary programming models which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. | 1.827345 | 1 |
f2gap | Salim Haddadi | Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 1.868677 | 2 | |
pb- | 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 | 1.876030 | 3 | |
independentset | Toni Sorrell | These models are based on Neil Sloane's Challenge problems: Independent Sets in Graphs. | 1.882196 | 4 | |
ger50 | C. Raack | Multi-layer network design problem using a link-flow formulation over a path-flow formulation. | 1.882281 | 5 |