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neos-3634244-kauru: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Jeff Linderoth |
Description: | (None provided) |
MIPLIB Entry |
Parent Instance (neos-3634244-kauru)
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 | neos-1122047 [MIPLIB] | neos-3352863-ancoa [MIPLIB] | neos-5013590-toitoi [MIPLIB] | scpk4 [MIPLIB] | neos-4760493-puerua [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 / 0.521 | 2 / 0.699 | 3 / 0.837 | 4 / 0.841 | 5 / 0.846 | |
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 | assign1-10-4 [MIPLIB] | assign1-5-8 [MIPLIB] | neos-525149 [MIPLIB] | neos-5221106-oparau [MIPLIB] | rd-rplusc-21 [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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13 / 0.947 | 142 / 2.116 | 314 / 2.573 | 439 / 2.716 | 538 / 2.793 | |
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-3634244-kauru, the five most similar instances to neos-3634244-kauru according to the MIC, and the five most similar instances to neos-3634244-kauru according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-3634244-kauru [MIPLIB] | Jeff Linderoth | (None provided) | 0.000000 | - |
MIC Top 5 | neos-1122047 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.521476 | 1 |
neos-3352863-ancoa [MIPLIB] | Jeff Linderoth | (None provided) | 0.699202 | 2 | |
neos-5013590-toitoi [MIPLIB] | Hans Mittelmann | additional files should be Gurobi output and solution and submitter | 0.836912 | 3 | |
scpk4 [MIPLIB] | Shunji Umetani | This is a random test instance 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 instances. We have also generated reduced instances 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 instance generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark | 0.841210 | 4 | |
neos-4760493-puerua [MIPLIB] | Hans Mittelmann | Collection of anonymous submissions to the NEOS Server for Optimization | 0.846383 | 5 | |
MIPLIB Top 5 | assign1-10-4 [MIPLIB] | Robert Fourer | Imported from the MIPLIB2010 submissions. | 0.947098 | 13 |
assign1-5-8 [MIPLIB] | Robert Fourer | Imported from the MIPLIB2010 submissions. | 2.115581 | 142 | |
neos-525149 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.572504 | 314 | |
neos-5221106-oparau [MIPLIB] | Hans Mittelmann | Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included | 2.715720 | 439 | |
rd-rplusc-21 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 2.792788 | 538 |
neos-3634244-kauru: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-110 |
Assigned Model Group Rank/ISS in the MIC: | 2 / 0.760 |
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-100 | neos-pseudoapplication-110 | eil | core | neos-pseudoapplication-46 | |
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 / 0.727 | 2 / 0.761 | 3 / 0.764 | 4 / 0.966 | 5 / 1.216 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-3634244-kauru according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | neos-pseudoapplication-100 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 0.726710 | 1 |
neos-pseudoapplication-110 | Jeff Linderoth | (None provided) | 0.760847 | 2 | |
eil | J. Linderoth | Set partitioning problem approximation for capicated vehicle routing problem model from TSPLIB | 0.764229 | 3 | |
core | A. Caprara, M. Fischetti, P. Toth | Set covering model coming from Italian railway models | 0.966377 | 4 | |
neos-pseudoapplication-46 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.216126 | 5 |