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neos-5044663-wairoa: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Hans Mittelmann |
Description: | NEOS submission with known submitter |
MIPLIB Entry |
Parent Instance (neos-5044663-wairoa)
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 | aligninq [MIPLIB] | neos-4797081-pakoka [MIPLIB] | neos-3572885-glina [MIPLIB] | 23588 [MIPLIB] | osorio-cta [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 / 1.519 | 2 / 1.526 | 3 / 1.608 | 4 / 1.676 | 5 / 1.679 | |
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 | n9-3 [MIPLIB] | n5-3 [MIPLIB] | n6-3 [MIPLIB] | n7-3 [MIPLIB] | n13-3 [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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281 / 2.054 | 375 / 2.114 | 382 / 2.116 | 399 / 2.123 | 477 / 2.148 | |
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-5044663-wairoa, the five most similar instances to neos-5044663-wairoa according to the MIC, and the five most similar instances to neos-5044663-wairoa according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-5044663-wairoa [MIPLIB] | Hans Mittelmann | NEOS submission with known submitter | 0.000000 | - |
MIC Top 5 | aligninq [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.519472 | 1 |
neos-4797081-pakoka [MIPLIB] | Hans Mittelmann | Collection of anonymous submissions to the NEOS Server for Optimization | 1.525767 | 2 | |
neos-3572885-glina [MIPLIB] | Jeff Linderoth | (None provided) | 1.608291 | 3 | |
23588 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.676291 | 4 | |
osorio-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. | 1.679171 | 5 | |
MIPLIB Top 5 | n9-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 2.053968 | 281 |
n5-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 2.113751 | 375 | |
n6-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 2.116293 | 382 | |
n7-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 2.123355 | 399 | |
n13-3 [MIPLIB] | A. Atamtürk | Capacitated network design problem | 2.147667 | 477 |
neos-5044663-wairoa: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-53 |
Assigned Model Group Rank/ISS in the MIC: | 1 / 0.0 |
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-53 | neos-pseudoapplication-108 | neos-pseudoapplication-4 | chromaticindex | scp | |
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 / 0.000 | 2 / 2.178 | 3 / 2.261 | 4 / 2.369 | 5 / 2.369 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-5044663-wairoa according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-53 | Hans Mittelmann | NEOS submission with known submitter | 0.000000 | 1 |
neos-pseudoapplication-108 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 2.178228 | 2 | |
neos-pseudoapplication-4 | Jeff Linderoth | (None provided) | 2.261040 | 3 | |
chromaticindex | Pierre Le Bodic | Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees. | 2.368523 | 4 | |
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 | 2.368755 | 5 |