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neos-5261882-treska: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | Hans Mittelmann |
| Description: | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included |
| MIPLIB Entry |
Parent Instance (neos-5261882-treska)
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 | cbs-cta [MIPLIB] | neos-3615091-sutlej [MIPLIB] | ns1849932 [MIPLIB] | neos-631710 [MIPLIB] | square47 [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 / 1.068 | 2 / 1.120 | 3 / 1.149 | 4 / 1.167 | 5 / 1.173 | |
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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 | neos-5266653-tugela [MIPLIB] | neos-5260764-orauea [MIPLIB] | ns1905797 [MIPLIB] | neos-2294525-abba [MIPLIB] | neos-1456979 [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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9 / 1.184 | 10 / 1.185 | 92 / 1.269 | 130 / 1.303 | 249 / 1.394 | |
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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 neos-5261882-treska, the five most similar instances to neos-5261882-treska according to the MIC, and the five most similar instances to neos-5261882-treska according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
|---|---|---|---|---|---|
| Parent Instance | neos-5261882-treska [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 0.000000 | - |
| MIC Top 5 | cbs-cta [MIPLIB] | Jordi Castro | Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data. | 1.068410 | 1 |
| neos-3615091-sutlej [MIPLIB] | Hans Mittelmann | Collection of anonymous submissions to the NEOS Server for Optimization | 1.120357 | 2 | |
| ns1849932 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application. | 1.149443 | 3 | |
| neos-631710 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application. Solved with Gurobi 4.6.1 (12 threads) in 1264.7 sec. | 1.166524 | 4 | |
| square47 [MIPLIB] | Sascha Kurz | Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) | 1.172759 | 5 | |
| MIPLIB Top 5 | neos-5266653-tugela [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 1.183787 | 9 |
| neos-5260764-orauea [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 1.184705 | 10 | |
| ns1905797 [MIPLIB] | NEOS Server Submission | Vehicle routing problem | 1.269093 | 92 | |
| neos-2294525-abba [MIPLIB] | Jeff Linderoth | (None provided) | 1.302665 | 130 | |
| neos-1456979 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.393628 | 249 |
neos-5261882-treska: Instance-to-Model Comparison Results
| Model Group Assignment from MIPLIB: | neos-pseudoapplication-102 |
| Assigned Model Group Rank/ISS in the MIC: | 22 / 1.915 |
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 | neos-pseudoapplication-109 | scp | hypothyroid | seqsolve | sp_product | |
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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 / 1.724 | 2 / 1.726 | 3 / 1.734 | 4 / 1.740 | 5 / 1.777 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-5261882-treska according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | neos-pseudoapplication-109 | Jeff Linderoth | (None provided) | 1.723650 | 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 | 1.725596 | 2 | |
| hypothyroid | 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 | 1.734228 | 3 | |
| seqsolve | Irv Lustig | The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file. | 1.739844 | 4 | |
| sp_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.776661 | 5 |
