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glass4: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | I. Luzzi |
Description: | Nesting instance |
MIPLIB Entry |
Parent Instance (glass4)
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 | probportfolio [MIPLIB] | tanglegram6 [MIPLIB] | tanglegram4 [MIPLIB] | fhnw-schedule-paira200 [MIPLIB] | fhnw-schedule-paira100 [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 / 0.497 | 2 / 0.595 | 3 / 0.638 | 4 / 0.705 | 5 / 0.705 | |
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 | drayage-100-23 [MIPLIB] | neos-4338804-snowy [MIPLIB] | drayage-25-23* [MIPLIB] | drayage-25-32* [MIPLIB] | drayage-25-27* [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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289 / 1.296 | 632 / 1.685 | 289* / 1.296* | 289* / 1.296* | 289* / 1.296* | |
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 glass4, the five most similar instances to glass4 according to the MIC, and the five most similar instances to glass4 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | glass4 [MIPLIB] | I. Luzzi | Nesting instance | 0.000000 | - |
MIC Top 5 | probportfolio [MIPLIB] | Feng Qiu | Sample average approximation formulation of a probabilistic portfolio optimization problem. Solved using ug[SCIP/spx], a distributed massively parallel version of SCIP run on 2,000 cores at the HLRN-II super computer facility. | 0.497330 | 1 |
tanglegram6 [MIPLIB] | Falk Hueffner | The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0). | 0.594508 | 2 | |
tanglegram4 [MIPLIB] | Falk Hueffner | The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0). | 0.638488 | 3 | |
fhnw-schedule-paira200 [MIPLIB] | Simon Felix | Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation. | 0.704704 | 4 | |
fhnw-schedule-paira100 [MIPLIB] | Simon Felix | Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation. | 0.705303 | 5 | |
MIPLIB Top 5 | drayage-100-23 [MIPLIB] | F. Jordan Srour | The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. | 1.295996 | 289 |
neos-4338804-snowy [MIPLIB] | Jeff Linderoth | (None provided) | 1.684674 | 632 | |
drayage-25-23* [MIPLIB] | F. Jordan Srour | The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. | 1.295996* | 289* | |
drayage-25-32* [MIPLIB] | F. Jordan Srour | The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. | 1.295996* | 289* | |
drayage-25-27* [MIPLIB] | F. Jordan Srour | The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. | 1.295996* | 289* |
glass4: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | no model group assignment |
Assigned Model Group Rank/ISS in the MIC: | N.A. / N.A. |
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 | neos-pseudoapplication-2 | sp_product | map | SiweiSun | |
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 / 1.083 | 2 / 1.324 | 3 / 1.367 | 4 / 1.399 | 5 / 1.435 |
Model Group Summary
The table below contains summary information for the five most similar model groups to glass4 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-109 | Jeff Linderoth | (None provided) | 1.082746 | 1 |
neos-pseudoapplication-2 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.324362 | 2 | |
sp_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.366688 | 3 | |
map | Kiyan Ahmadizadeh | Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem | 1.399254 | 4 | |
SiweiSun | Siwei Sun | These models come from my cryptographic research and are used to search for the best differential characteristics of the round-reduced versions of the block cipher Serpent with the mixed-integer programming technique. For all the models, including S1234.lp, S56701.lp, S456701.lp, I have found a feasible solution in the corresponding mst file. The challenge is that can we find better solutions or can we find the best solutions. | 1.435382 | 5 |