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neos-3421095-cinca: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-3421095-cinca)
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 | neos-911970 [MIPLIB] | fhnw-sq3 [MIPLIB] | fhnw-sq2 [MIPLIB] | supportcase3 [MIPLIB] | neos-5078479-escaut [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 / 0.819 | 2 / 0.837 | 3 / 0.873 | 4 / 0.889 | 5 / 0.936 | |
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 | neos-5078479-escaut [MIPLIB] | set3-20 [MIPLIB] | set3-10* [MIPLIB] | set3-15* [MIPLIB] | set3-09* [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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5 / 0.936 | 381 / 1.527 | 381* / 1.527* | 381* / 1.527* | 381* / 1.527* | |
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-3421095-cinca, the five most similar instances to neos-3421095-cinca according to the MIC, and the five most similar instances to neos-3421095-cinca according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-3421095-cinca [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | neos-911970 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.818650 | 1 |
fhnw-sq3 [MIPLIB] | Simon Felix | Combinatorial toy fesability problem: Magic square. Instances 1 & 2 are feasible, instance 3 is unknown. | 0.836773 | 2 | |
fhnw-sq2 [MIPLIB] | Simon Felix | Combinatorial toy fesability problem: Magic square. Instances 1 & 2 are feasible, instance 3 is unknown. Reported to be solved after 46883 seconds with ParaSCIP using 72 cores. | 0.872953 | 3 | |
supportcase3 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores). | 0.888764 | 4 | |
neos-5078479-escaut [MIPLIB] | Jeff Linderoth | (None provided) | 0.936089 | 5 | |
MIPLIB Top 5 | neos-5078479-escaut [MIPLIB] | Jeff Linderoth | (None provided) | 0.936089 | 5 |
set3-20 [MIPLIB] | Kerem Akartunali | Multi-item lot-sizing with backlogging. Solved by SCIP 3.1.1 parallelized by UG 0.7.5 linked to CPLEX 12.6 as an LP solver on HLRN III (https://www.hlrn.de/home/view/System3/CrayHardware). Due to time limit restrictions, four repeated runs, each starting from the checkpointing file of the previous run, were done. Each run had a time limit of 12 hours while using 6144 (runs 1) or 3072 cores (run 2 - 4). | 1.527198 | 381 | |
set3-10* [MIPLIB] | Kerem Akartunali | Multi-item lot-sizing with backlogging. Solved by SCIP 3.1.1 parallelized by UG 0.7.5 linked to CPLEX 12.6 as an LP solver on HLRN III (https://www.hlrn.de/home/view/System3/CrayHardware). Due to time limit restrictions, five repeated runs, each starting from the checkpointing file of the previous run, were done. Each run had a time limit of 12 hours while using 6144 (runs 1, 3, and 4) or 3072 cores (run 2 and 5). | 1.527198* | 381* | |
set3-15* [MIPLIB] | Kerem Akartunali | Multi-item lot-sizing with backlogging. The problem was solved with CPLEX 12.4 in approximately 64.5 hours. | 1.527198* | 381* | |
set3-09* [MIPLIB] | Kerem Akartunali | This is joint work with Andrew J. Miller, Universite de Bordeaux 1; RealOpt, INRIA Bordeaux Sud-Ouest, France. Andrew.Miller@math.u-bordeaux1.fr. These are five hard instances chosen from our library MULTILSB (Multi-item Lot-Sizing with Backlogging), which is fully available at (incl. documentation and mosel file):http://personal.strath.ac.uk/kerem.akartunali/research/multi-lsb/ For these 5 instances, gaps remain in the range of >50% after 30 min. (using latest version of FICO on a laptop with i7 processor and 4GB RAM): (first two columns indicate the 30 min-runs, and the last column indicates the best solutions we know at the moment). Computational results for these instances as well as for others of MULTILSB can be found on the website. | 1.527198* | 381* |
neos-3421095-cinca: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-25 |
Assigned Model Group Rank/ISS in the MIC: | 128 / 2.562 |
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 | fhnw-sq | neos-pseudoapplication-74 | neos-pseudoapplication-70 | rpp | 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.
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1 / 1.425 | 2 / 1.484 | 3 / 1.511 | 4 / 1.555 | 5 / 1.606 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-3421095-cinca according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | fhnw-sq | Simon Felix | Combinatorial toy fesability problem: Magic square. Models 1 & 2 are feasible, model 3 is unknown. | 1.425324 | 1 |
neos-pseudoapplication-74 | Jeff Linderoth | (None provided) | 1.484325 | 2 | |
neos-pseudoapplication-70 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.511094 | 3 | |
rpp | 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 | 1.554889 | 4 | |
neos-pseudoapplication-40 | Jeff Linderoth | (None provided) | 1.606307 | 5 |