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nh97_potential: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | MIPLIB submission pool |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (nh97_potential)
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] | momentum3 [MIPLIB] | breastcancer-regularized [MIPLIB] | neos-3046615-murg [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 / 1.051 | 2 / 1.061 | 3 / 1.074 | 4 / 1.077 | 5 / 1.084 | |
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 | ic97_potential [MIPLIB] | fhnw-schedule-paira400 [MIPLIB] | fhnw-schedule-paira100 [MIPLIB] | fhnw-schedule-paira200 [MIPLIB] | icir97_potential [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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12 / 1.151 | 100 / 1.296 | 211 / 1.379 | 216 / 1.384 | 255 / 1.426 | |
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 nh97_potential, the five most similar instances to nh97_potential according to the MIC, and the five most similar instances to nh97_potential according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | nh97_potential [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | neos-3610051-istra [MIPLIB] | Jeff Linderoth | (None provided) | 1.050744 | 1 |
neos-3610173-itata [MIPLIB] | Jeff Linderoth | (None provided) | 1.060555 | 2 | |
momentum3 [MIPLIB] | T. Koch | Snapshot based UMTS planning problem, having a very wide dynamic range in the matrix coefficients and tending to be numerically unstable | 1.073605 | 3 | |
breastcancer-regularized [MIPLIB] | Berk Ustun | MIP to create optimized data-driven scoring systems. See: https://github.com/ustunb/miplib2017-slim#miplib2017-slim for a description. | 1.077134 | 4 | |
neos-3046615-murg [MIPLIB] | Jeff Linderoth | (None provided) | 1.083629 | 5 | |
MIPLIB Top 5 | ic97_potential [MIPLIB] | L. Peeters | A model for cyclic railway timetable optimization | 1.150765 | 12 |
fhnw-schedule-paira400 [MIPLIB] | Simon Felix | Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation. | 1.295919 | 100 | |
fhnw-schedule-paira100 [MIPLIB] | Simon Felix | Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation. | 1.379301 | 211 | |
fhnw-schedule-paira200 [MIPLIB] | Simon Felix | Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation. | 1.384485 | 216 | |
icir97_potential [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.426136 | 255 |
nh97_potential: 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 | rmatr | map | neos-pseudoapplication-54 | ustun | 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 / 1.450 | 2 / 1.497 | 3 / 1.510 | 4 / 1.550 | 5 / 1.573 |
Model Group Summary
The table below contains summary information for the five most similar model groups to nh97_potential 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 | 1.450105 | 1 |
map | Kiyan Ahmadizadeh | Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem | 1.496580 | 2 | |
neos-pseudoapplication-54 | Jeff Linderoth | (None provided) | 1.509548 | 3 | |
ustun | Berk Ustun | MIP to create optimized data-driven scoring systems. See: https://github.com/ustunb/miplib2017-slim#miplib2017-slim for a description. | 1.549554 | 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 | 1.573320 | 5 |