sct5: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Siemens
Description: Assembly line balancing for printed circuit board production
MIPLIB Entry

Parent Instance (sct5)

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

sct5 Raw sct5 Decomposed sct5 Composite of MIC top 5 sct5 Composite of MIPLIB top 5 sct5 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.
square23 decomposed square31 decomposed ta1-UUM decomposed square37 decomposed square41 decomposed
Name square23 [MIPLIB] square31 [MIPLIB] ta1-UUM [MIPLIB] square37 [MIPLIB] square41 [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 / 0.719 2 / 0.795 3 / 0.805 4 / 0.807 5 / 0.848
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
square23 raw square31 raw ta1-UUM raw square37 raw square41 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.
gus-sch decomposed sct2 decomposed sct31 decomposed sct1 decomposed sct32 decomposed
Name gus-sch [MIPLIB] sct2 [MIPLIB] sct31 [MIPLIB] sct1 [MIPLIB] sct32 [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.
171 / 1.209 180 / 1.217 816 / 2.087 860 / 2.281 875 / 2.354
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
gus-sch raw sct2 raw sct31 raw sct1 raw sct32 raw

Instance Summary

The table below contains summary information for sct5, the five most similar instances to sct5 according to the MIC, and the five most similar instances to sct5 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance sct5 [MIPLIB] Siemens Assembly line balancing for printed circuit board production 0.000000 -
MIC Top 5 square23 [MIPLIB] Sascha Kurz Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) 0.719159 1
square31 [MIPLIB] Sascha Kurz Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) 0.795210 2
ta1-UUM [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.804993 3
square37 [MIPLIB] Sascha Kurz Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) 0.807056 4
square41 [MIPLIB] Sascha Kurz Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) 0.847786 5
MIPLIB Top 5 gus-sch [MIPLIB] Alexandra M. Newman course scheduling model 1.208793 171
sct2 [MIPLIB] Siemens Assembly line balancing for printed circuit board production 1.217395 180
sct31 [MIPLIB] Siemens Assembly line balancing for printed circuit board production 2.087185 816
sct1 [MIPLIB] Siemens Assembly line balancing for printed circuit board production 2.281430 860
sct32 [MIPLIB] Siemens Assembly line balancing for printed circuit board production. First solved by Gurobi 7.0 in 65 hours (32 threads). 2.354243 875


sct5: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: sct
Assigned Model Group Rank/ISS in the MIC: 198 / 3.606

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: square Model group: supportvectormachine Model group: neos-pseudoapplication-109 Model group: noip Model group: neos-pseudoapplication-74
Name square supportvectormachine neos-pseudoapplication-109 noip neos-pseudoapplication-74
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 / 1.215 2 / 1.224 3 / 1.395 4 / 1.497 5 / 1.499

Model Group Summary

The table below contains summary information for the five most similar model groups to sct5 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 square Sascha Kurz Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.) 1.215073 1
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 1.224101 2
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.394798 3
noip Christopher Hojny integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists 1.497203 4
neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.498564 5