mik-250-20-75-5: Instance-to-Instance Comparison Results

Type: Instance
Submitter: MIPLIB submission pool
Description: Imported from the MIPLIB2010 submissions.
MIPLIB Entry

Parent Instance (mik-250-20-75-5)

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

mik-250-20-75-5 Raw mik-250-20-75-5 Decomposed mik-250-20-75-5 Composite of MIC top 5 mik-250-20-75-5 Composite of MIPLIB top 5 mik-250-20-75-5 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.
gsvm2rl5 decomposed gsvm2rl3 decomposed gsvm2rl12 decomposed gsvm2rl9 decomposed timtab1 decomposed
Name gsvm2rl5 [MIPLIB] gsvm2rl3 [MIPLIB] gsvm2rl12 [MIPLIB] gsvm2rl9 [MIPLIB] timtab1 [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 / 0.554 2 / 0.596 3 / 0.635 4 / 0.698 5 / 0.957
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
gsvm2rl5 raw gsvm2rl3 raw gsvm2rl12 raw gsvm2rl9 raw timtab1 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.
gen-ip036 decomposed mik-250-20-75-2 decomposed mik-250-20-75-3 decomposed mik-250-20-75-1 decomposed mik-250-20-75-4 decomposed
Name gen-ip036 [MIPLIB] mik-250-20-75-2* [MIPLIB] mik-250-20-75-3* [MIPLIB] mik-250-20-75-1* [MIPLIB] mik-250-20-75-4* [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.
364 / 1.407 0* / 0.000* 0* / 0.000* 0* / 0.000* 0* / 0.000*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
gen-ip036 raw mik-250-20-75-2 raw mik-250-20-75-3 raw mik-250-20-75-1 raw mik-250-20-75-4 raw

Instance Summary

The table below contains summary information for mik-250-20-75-5, the five most similar instances to mik-250-20-75-5 according to the MIC, and the five most similar instances to mik-250-20-75-5 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance mik-250-20-75-5 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 gsvm2rl5 [MIPLIB] Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 0.554486 1
gsvm2rl3 [MIPLIB] Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 0.596051 2
gsvm2rl12 [MIPLIB] Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 0.634940 3
gsvm2rl9 [MIPLIB] Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 0.697502 4
timtab1 [MIPLIB] C. Liebchen, R. Möhring Public transport scheduling problem 0.956862 5
MIPLIB Top 5 gen-ip036 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.406628 364
mik-250-20-75-2* [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000* 0*
mik-250-20-75-3* [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000* 0*
mik-250-20-75-1* [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000* 0*
mik-250-20-75-4* [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000* 0*


mik-250-20-75-5: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: mik_250
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.
Model group: mik_250 Model group: bc Model group: supportvectormachine Model group: neos-pseudoapplication-108 Model group: neos-pseudoapplication-4
Name mik_250 bc supportvectormachine neos-pseudoapplication-108 neos-pseudoapplication-4
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 / 0.000 2 / 1.467 3 / 1.732 4 / 1.887 5 / 1.908

Model Group Summary

The table below contains summary information for the five most similar model groups to mik-250-20-75-5 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 mik_250 MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000 1
bc MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.466765 2
supportvectormachine Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 1.732374 3
neos-pseudoapplication-108 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.886670 4
neos-pseudoapplication-4 Jeff Linderoth (None provided) 1.907642 5


* mik-250-20-75-2 is a duplicate of mik-250-20-75-5. mik-250-20-75-3 is a duplicate of mik-250-20-75-5. mik-250-20-75-1 is a duplicate of mik-250-20-75-5. mik-250-20-75-4 is a duplicate of mik-250-20-75-5.

Updated August 16, 2019