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nsa: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | MIPLIB submission pool |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (nsa)
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 | ns1905797 [MIPLIB] | neos-5221106-oparau [MIPLIB] | neos-5260764-orauea [MIPLIB] | neos-3734794-moppy [MIPLIB] | neos-1337307 [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 / 0.717 | 2 / 0.810 | 3 / 0.866 | 4 / 0.889 | 5 / 0.894 | |
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 | istanbul-no-cutoff [MIPLIB] | neos-5188808-nattai [MIPLIB] | dws012-01 [MIPLIB] | dws008-01 [MIPLIB] | snip10x10-35r1budget17 [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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183 / 1.267 | 344 / 1.457 | 392 / 1.516 | 454 / 1.568 | 633 / 1.732 | |
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 nsa, the five most similar instances to nsa according to the MIC, and the five most similar instances to nsa according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | nsa [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | ns1905797 [MIPLIB] | NEOS Server Submission | Vehicle routing problem | 0.717205 | 1 |
neos-5221106-oparau [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 0.809891 | 2 | |
neos-5260764-orauea [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 0.865777 | 3 | |
neos-3734794-moppy [MIPLIB] | Jeff Linderoth | (None provided) | 0.888808 | 4 | |
neos-1337307 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.893748 | 5 | |
MIPLIB Top 5 | istanbul-no-cutoff [MIPLIB] | Utz-Uwe Haus | Exact MILP reformulation using binary decision diagrams to obtain scenario bundles of 2-stage stochastic expected shortest path and expected maximum flow problem with decision dependent scenario probabilities. Notes: * very few binary variables * for each fixing of the binaries a system of equations computing conditioned probabilities remains | 1.266519 | 183 |
neos-5188808-nattai [MIPLIB] | Jeff Linderoth | (None provided) | 1.457049 | 344 | |
dws012-01 [MIPLIB] | Philipp Leise | MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The instances vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions. | 1.515549 | 392 | |
dws008-01 [MIPLIB] | Philipp Leise | MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The instances vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions. | 1.568119 | 454 | |
snip10x10-35r1budget17 [MIPLIB] | Utz-Uwe Haus | Exact MILP reformulation using binary decision diagrams to obtain scenario bundles of 2-stage stochastic expected shortest path and expected maximum flow problem with decision dependent scenario probabilities. Notes: * very few binary variables * for each fixing of the binaries a system of equations computing conditioned probabilities remains | 1.731964 | 633 |
nsa: 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 | allcolor | neos-pseudoapplication-14 | sing | sp_product | cvs | |
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 / 1.203 | 2 / 1.260 | 3 / 1.326 | 4 / 1.369 | 5 / 1.406 |
Model Group Summary
The table below contains summary information for the five most similar model groups to nsa according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | allcolor | Domenico Salvagnin | Prepack optimization model. | 1.202729 | 1 |
neos-pseudoapplication-14 | Jeff Linderoth | (None provided) | 1.259949 | 2 | |
sing | Daniel Espinoza | Imported from the MIPLIB2010 submissions. | 1.325586 | 3 | |
sp_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.369473 | 4 | |
cvs | Michael Bastubbe | Capacitated vertex separator problem on randomly generated hypergraph with 128 vertices and 89 hyperedges in at most 16 components each including at most 8 vertices. solved with default GCG/Soplex in about 2000 seconds. | 1.406118 | 5 |