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neos-1593097: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (neos-1593097)
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-555424 [MIPLIB] | neos-4736745-arroux [MIPLIB] | n9-3 [MIPLIB] | n5-3 [MIPLIB] | neos-1324574 [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 / 0.413 | 2 / 0.484 | 3 / 0.488 | 4 / 0.496 | 5 / 0.530 | |
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-5178119-nalagi [MIPLIB] | proteindesign122trx11p8 [MIPLIB] | proteindesign121pgb11p9 [MIPLIB] | swath [MIPLIB] | swath3 [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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523 / 1.701 | 631 / 1.810 | 634 / 1.812 | 706 / 1.918 | 761 / 2.020 | |
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-1593097, the five most similar instances to neos-1593097 according to the MIC, and the five most similar instances to neos-1593097 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-1593097 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | neos-555424 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application | 0.413036 | 1 |
neos-4736745-arroux [MIPLIB] | Jeff Linderoth | (None provided) | 0.484159 | 2 | |
n9-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 0.487781 | 3 | |
n5-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 0.495556 | 4 | |
neos-1324574 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.529558 | 5 | |
MIPLIB Top 5 | neos-5178119-nalagi [MIPLIB] | Jeff Linderoth | (None provided) | 1.700539 | 523 |
proteindesign122trx11p8 [MIPLIB] | 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 | 1.809730 | 631 | |
proteindesign121pgb11p9 [MIPLIB] | 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 | 1.811893 | 634 | |
swath [MIPLIB] | D. Panton | Model arising from the defense industry, involves planning missions for radar surveillance. John Forrest and Laszlo Ladanyi solved this instance by reformulation in 1999. Alkis Vazacopoulos reports solving this instance using XPRESS 2006B. | 1.918163 | 706 | |
swath3 [MIPLIB] | D. Panton | Model arising from the defense industry, involves planning missions for radar surveillance. | 2.020001 | 761 |
neos-1593097: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-77 |
Assigned Model Group Rank/ISS in the MIC: | 82 / 2.350 |
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 | nxy-z | beasley | aflow | neos-pseudoapplication-75 | control | |
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 / 0.836 | 2 / 0.976 | 3 / 1.071 | 4 / 1.081 | 5 / 1.089 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-1593097 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | nxy-z | A. Atamtürk | Capacitated network design problem | 0.835851 | 1 |
beasley | F. Ortega, L. Wolsey | Fixed cost network flow problems | 0.976017 | 2 | |
aflow | T. Achterberg | Arborescence flow problem on a graph with 40 nodes and edge density 0.9 | 1.071352 | 3 | |
neos-pseudoapplication-75 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.081288 | 4 | |
control | Qie He | Optimal control of a discrete-time switched system model Numerically challenging. Different solvers report this model as solved to optimality, infeasible, or unbounded. | 1.088935 | 5 |