drayage-100-23: Instance-to-Instance Comparison Results

Type: Instance
Submitter: F. Jordan Srour
Description: The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf.
MIPLIB Entry

Parent Instance (drayage-100-23)

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

drayage-100-23 Raw drayage-100-23 Decomposed drayage-100-23 Composite of MIC top 5 drayage-100-23 Composite of MIPLIB top 5 drayage-100-23 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.
dale-cta decomposed app2-2 decomposed app2-1 decomposed australia-abs-cta decomposed square23 decomposed
Name dale-cta [MIPLIB] app2-2 [MIPLIB] app2-1 [MIPLIB] australia-abs-cta [MIPLIB] square23 [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 / 0.764 2 / 0.826 3 / 0.936 4 / 0.977 5 / 1.030
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
dale-cta raw app2-2 raw app2-1 raw australia-abs-cta raw square23 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.
neos-2294525-abba decomposed drayage-25-23 decomposed drayage-25-27 decomposed drayage-100-12 decomposed drayage-25-32 decomposed
Name neos-2294525-abba [MIPLIB] drayage-25-23* [MIPLIB] drayage-25-27* [MIPLIB] drayage-100-12* [MIPLIB] drayage-25-32* [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.
541 / 1.663 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.
neos-2294525-abba raw drayage-25-23 raw drayage-25-27 raw drayage-100-12 raw drayage-25-32 raw

Instance Summary

The table below contains summary information for drayage-100-23, the five most similar instances to drayage-100-23 according to the MIC, and the five most similar instances to drayage-100-23 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance drayage-100-23 [MIPLIB] F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. 0.000000 -
MIC Top 5 dale-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. 0.764464 1
app2-2 [MIPLIB] Emilie Danna The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB. 0.825934 2
app2-1 [MIPLIB] Emilie Danna The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB. 0.936260 3
australia-abs-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. 0.976673 4
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.) 1.030105 5
MIPLIB Top 5 neos-2294525-abba [MIPLIB] Jeff Linderoth (None provided) 1.662991 541
drayage-25-23* [MIPLIB] F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. 0.000000* 0*
drayage-25-27* [MIPLIB] F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. 0.000000* 0*
drayage-100-12* [MIPLIB] F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. 0.000000* 0*
drayage-25-32* [MIPLIB] F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf. 0.000000* 0*


drayage-100-23: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: drayage
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: drayage Model group: neos-pseudoapplication-109 Model group: square Model group: neos-pseudoapplication-89 Model group: neos-pseudoapplication-2
Name drayage neos-pseudoapplication-109 square neos-pseudoapplication-89 neos-pseudoapplication-2
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 / 1.503 3 / 1.543 4 / 1.671 5 / 1.673

Model Group Summary

The table below contains summary information for the five most similar model groups to drayage-100-23 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 drayage F. Jordan Srour The .rar file contains three folders: 1) R_mps with all of the models (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the models in the form of a pdf. 0.000000 1
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.502588 2
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.) 1.542747 3
neos-pseudoapplication-89 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.670666 4
neos-pseudoapplication-2 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.673102 5


* drayage-25-23 is a duplicate of drayage-100-23. drayage-25-27 is a duplicate of drayage-100-23. drayage-100-12 is a duplicate of drayage-100-23. drayage-25-32 is a duplicate of drayage-100-23.

Updated August 16, 2019