ger50-17-trans-dfn-3t: Instance-to-Instance Comparison Results

Type: Instance
Submitter: C. Raack
Description: Multi-layer network design problem using a link-flow formulation over a path-flow formulation.
MIPLIB Entry

Parent Instance (ger50-17-trans-dfn-3t)

All other instances below were be compared against this "query" instance.

ger50-17-trans-dfn-3t Raw ger50-17-trans-dfn-3t Decomposed ger50-17-trans-dfn-3t Composite of MIC top 5 ger50-17-trans-dfn-3t Composite of MIPLIB top 5 ger50-17-trans-dfn-3t Model Group Composite
Raw This is the CCM image before the decomposition procedure has been applied.
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.
Composite of MIC Top 5 Composite of the five decomposed CCM images from the MIC Top 5.
Composite of MIPLIB Top 5 Composite of the five decomposed CCM images from the MIPLIB Top 5.
Model Group Composite Image Composite of the decomposed CCM images for every instance in the same model group as this query.

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.
ger50_17_trans decomposed highschool1-aigio decomposed ran14x18-disj-8 decomposed osorio-cta decomposed neos-1445532 decomposed
Name ger50_17_trans [MIPLIB] highschool1-aigio [MIPLIB] ran14x18-disj-8 [MIPLIB] osorio-cta [MIPLIB] neos-1445532 [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.
1 / 0.219 2 / 1.382 3 / 1.464 4 / 1.505 5 / 1.631
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
ger50_17_trans raw highschool1-aigio raw ran14x18-disj-8 raw osorio-cta raw neos-1445532 raw

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.
ger50_17_trans decomposed ger50-17-ptp-pop-6t decomposed ta1-UUM decomposed ger50-17-trans-pop-3t decomposed ger50-17-ptp-pop-3t decomposed
Name ger50_17_trans [MIPLIB] ger50-17-ptp-pop-6t [MIPLIB] ta1-UUM [MIPLIB] ger50-17-trans-pop-3t* [MIPLIB] ger50-17-ptp-pop-3t* [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.
1 / 0.219 11 / 1.686 465 / 2.264 1* / 0.219* 11* / 1.686*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
ger50_17_trans raw ger50-17-ptp-pop-6t raw ta1-UUM raw ger50-17-trans-pop-3t raw ger50-17-ptp-pop-3t raw

Instance Summary

The table below contains summary information for ger50-17-trans-dfn-3t, the five most similar instances to ger50-17-trans-dfn-3t according to the MIC, and the five most similar instances to ger50-17-trans-dfn-3t according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance ger50-17-trans-dfn-3t [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 0.000000 -
MIC Top 5 ger50_17_trans [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 0.218845 1
highschool1-aigio [MIPLIB] George Fonseca Educational timetabling problems from several real schools/universities around the world. These instances were originally expressed in the xhstt file format [1] and formulated as Integer Programming models as described at [2]. 1.382279 2
ran14x18-disj-8 [MIPLIB] J. Aronson Fixed charge transportation problem 1.463906 3
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. 1.505250 4
neos-1445532 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.631482 5
MIPLIB Top 5 ger50_17_trans [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 0.218845 1
ger50-17-ptp-pop-6t [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 1.686482 11
ta1-UUM [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 2.264233 465
ger50-17-trans-pop-3t* [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 0.218845* 1*
ger50-17-ptp-pop-3t* [MIPLIB] C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 1.686482* 11*


ger50-17-trans-dfn-3t: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: ger50
Assigned Model Group Rank/ISS in the MIC: 1 / 1.736

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.
Model group: ger50 Model group: neos-pseudoapplication-108 Model group: ran Model group: scp Model group: neos-pseudoapplication-21
Name ger50 neos-pseudoapplication-108 ran scp neos-pseudoapplication-21
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.
1 / 1.737 2 / 2.255 3 / 2.272 4 / 2.380 5 / 2.391

Model Group Summary

The table below contains summary information for the five most similar model groups to ger50-17-trans-dfn-3t according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 ger50 C. Raack Multi-layer network design problem using a link-flow formulation over a path-flow formulation. 1.736703 1
neos-pseudoapplication-108 NEOS Server Submission Model coming from the NEOS Server with unknown application 2.255385 2
ran J. Aronson Fixed charge transportation problem 2.272044 3
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 2.380178 4
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 2.390531 5


* ger50-17-trans-pop-3t is a duplicate of ger50_17_trans. ger50-17-ptp-pop-3t is a duplicate of ger50-17-ptp-pop-6t.