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neos16: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Instance coming from the NEOS Server with unknown application |
MIPLIB Entry |
Parent Instance (neos16)
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-3610051-istra [MIPLIB] | neos-3610173-itata [MIPLIB] | neos-3046615-murg [MIPLIB] | neos-3046601-motu [MIPLIB] | supportcase26 [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 / 0.407 | 2 / 0.410 | 3 / 0.589 | 4 / 0.611 | 5 / 0.661 | |
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-3009394-lami [MIPLIB] | lectsched-5-obj [MIPLIB] | timtab1CUTS [MIPLIB] | lectsched-4-obj [MIPLIB] | neos-4338804-snowy [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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252 / 1.312 | 292 / 1.349 | 544 / 1.609 | 589 / 1.659 | 685 / 1.827 | |
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 neos16, the five most similar instances to neos16 according to the MIC, and the five most similar instances to neos16 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos16 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.000000 | - |
MIC Top 5 | neos-3610051-istra [MIPLIB] | Jeff Linderoth | (None provided) | 0.407237 | 1 |
neos-3610173-itata [MIPLIB] | Jeff Linderoth | (None provided) | 0.409672 | 2 | |
neos-3046615-murg [MIPLIB] | Jeff Linderoth | (None provided) | 0.589107 | 3 | |
neos-3046601-motu [MIPLIB] | Jeff Linderoth | (None provided) | 0.610841 | 4 | |
supportcase26 [MIPLIB] | Michael Winkler | MIP instances collected from Gurobi forum with unknown application | 0.660784 | 5 | |
MIPLIB Top 5 | neos-3009394-lami [MIPLIB] | Jeff Linderoth | (None provided) | 1.312493 | 252 |
lectsched-5-obj [MIPLIB] | Harald Schilly | scheduling lectures at university - smaller subset of data with objective to minimize certain overlappings | 1.349183 | 292 | |
timtab1CUTS [MIPLIB] | C. Liebchen, R. Möhring | Public transport scheduling problem | 1.609393 | 544 | |
lectsched-4-obj [MIPLIB] | Harald Schilly | University lecture scheduling instance | 1.658676 | 589 | |
neos-4338804-snowy [MIPLIB] | Jeff Linderoth | (None provided) | 1.826824 | 685 |
neos16: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-90 |
Assigned Model Group Rank/ISS in the MIC: | 10 / 1.550 |
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 | rmatr | hypothyroid | map | neos-pseudoapplication-54 | ustun | |
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 / 1.204 | 2 / 1.216 | 3 / 1.288 | 4 / 1.294 | 5 / 1.331 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos16 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | rmatr | Dmitry Krushinsky | Model coming from a formulation of the p-Median problem using square cost matrices | 1.203972 | 1 |
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 | 1.216279 | 2 | |
map | Kiyan Ahmadizadeh | Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem | 1.288021 | 3 | |
neos-pseudoapplication-54 | Jeff Linderoth | (None provided) | 1.294340 | 4 | |
ustun | Berk Ustun | MIP to create optimized data-driven scoring systems. See: https://github.com/ustunb/miplib2017-slim#miplib2017-slim for a description. | 1.331079 | 5 |