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eva1aprime6x6opt: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | Yoshihiro Kanno |
| Description: | MILP approach to generate structures with negative thermal expansion coefficients |
| MIPLIB Entry |
Parent Instance (eva1aprime6x6opt)
All other instances below were be compared against this "query" instance.  |
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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 | eva1aprime5x5opt [MIPLIB] | highschool1-aigio [MIPLIB] | bab2 [MIPLIB] | nursesched-medium-hint03 [MIPLIB] | pb-gfrd-pnc [MIPLIB] | |
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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 / 1.401 | 2 / 1.425 | 3 / 1.427 | 4 / 1.507 | 5 / 1.522 | |
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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 | eva1aprime5x5opt [MIPLIB] | neos-619167 [MIPLIB] | neos-3754224-navua [MIPLIB] | neos-3594536-henty [MIPLIB] | neos-5018451-chiese [MIPLIB] | |
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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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1 / 1.401 | 161 / 1.877 | 409 / 1.990 | 547 / 2.027 | 878 / 2.379 | |
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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 eva1aprime6x6opt, the five most similar instances to eva1aprime6x6opt according to the MIC, and the five most similar instances to eva1aprime6x6opt according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
|---|---|---|---|---|---|
| Parent Instance | eva1aprime6x6opt [MIPLIB] | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 0.000000 | - |
| MIC Top 5 | eva1aprime5x5opt [MIPLIB] | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 1.400931 | 1 |
| highschool1-aigio [MIPLIB] | George Fonseca | Educational timetabling problems from several real schools/universities around the world. These instances were originally expressed in the xhstt file format [1] and formulated as Integer Programming models as described at [2]. | 1.424890 | 2 | |
| bab2 [MIPLIB] | Elmar Swarat | Vehicle Routing with profits and an integrated crew scheduling formulated by two coupled multi-commodity flow problems. | 1.426897 | 3 | |
| nursesched-medium-hint03 [MIPLIB] | Haroldo Gambini Santos | Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 | 1.507227 | 4 | |
| pb-gfrd-pnc [MIPLIB] | Gleb Belov | These are the instances 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 instances can only be handled by solvers accepting indicator constraints. For instances 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 instances with full paths to mzn/dzn files of each instance 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 instance 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 | 1.522077 | 5 | |
| MIPLIB Top 5 | eva1aprime5x5opt [MIPLIB] | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 1.400931 | 1 |
| neos-619167 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.877280 | 161 | |
| neos-3754224-navua [MIPLIB] | Jeff Linderoth | (None provided) | 1.989988 | 409 | |
| neos-3594536-henty [MIPLIB] | Jeff Linderoth | (None provided) | 2.027090 | 547 | |
| neos-5018451-chiese [MIPLIB] | Jeff Linderoth | (None provided) | 2.378620 | 878 |
eva1aprime6x6opt: Instance-to-Model Comparison Results
| Model Group Assignment from MIPLIB: | evaprime |
| Assigned Model Group Rank/ISS in the MIC: | 1 / 1.459 |
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 | evaprime | scp | neos-pseudoapplication-21 | stein | neos-pseudoapplication-84 | |
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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 / 1.460 | 2 / 2.178 | 3 / 2.194 | 4 / 2.237 | 5 / 2.247 |
Model Group Summary
The table below contains summary information for the five most similar model groups to eva1aprime6x6opt according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | evaprime | Yoshihiro Kanno | MILP approach to generate structures with negative thermal expansion coefficients | 1.459501 | 1 |
| scp | Shunji Umetani | This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark | 2.177671 | 2 | |
| neos-pseudoapplication-21 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.194496 | 3 | |
| stein | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 2.237157 | 4 | |
| neos-pseudoapplication-84 | Jeff Linderoth | (None provided) | 2.246720 | 5 |
