app2-2: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Emilie Danna
Description: 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.
MIPLIB Entry

Parent Instance (app2-2)

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

app2-2 Raw app2-2 Decomposed app2-2 Composite of MIC top 5 app2-2 Composite of MIPLIB top 5 app2-2 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.
app2-1 decomposed dale-cta decomposed h80x6320 decomposed stein9inf decomposed flugplinf decomposed
Name app2-1 [MIPLIB] dale-cta [MIPLIB] h80x6320 [MIPLIB] stein9inf [MIPLIB] flugplinf [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 / 0.321 2 / 0.327 3 / 0.665 4 / 0.764 5 / 0.776
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
app2-1 raw dale-cta raw h80x6320 raw stein9inf raw flugplinf 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.
app2-1 decomposed neos-5140963-mincio decomposed sp97ic decomposed sp97ar decomposed sp98ar decomposed
Name app2-1 [MIPLIB] neos-5140963-mincio [MIPLIB] sp97ic [MIPLIB] sp97ar [MIPLIB] sp98ar [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 / 0.321 77 / 1.050 798 / 2.164 853 / 2.342 892 / 2.559
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
app2-1 raw neos-5140963-mincio raw sp97ic raw sp97ar raw sp98ar raw

Instance Summary

The table below contains summary information for app2-2, the five most similar instances to app2-2 according to the MIC, and the five most similar instances to app2-2 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance 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. 0.000000 -
MIC Top 5 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. 0.321455 1
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. 0.326957 2
h80x6320 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.664891 3
stein9inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.763504 4
flugplinf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.776450 5
MIPLIB Top 5 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. 0.321455 1
neos-5140963-mincio [MIPLIB] Jeff Linderoth (None provided) 1.050359 77
sp97ic [MIPLIB] J. Goessens, S. v. Hoessel, L. Kroon Railway line planning instance 2.163643 798
sp97ar [MIPLIB] J. Goessens, S. v. Hoessel, L. Kroon Railway line planning instance. Solved with Gurobi 4.5.1 on a 12-core Linux system in 2678.77 sec. 2.341740 853
sp98ar [MIPLIB] J. Goessens, S. v. Hoessel, L. Kroon Railway line planning instance 2.559034 892


app2-2: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: app
Assigned Model Group Rank/ISS in the MIC: 113 / 2.818

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-89 Model group: neos-pseudoapplication-109 Model group: neos-pseudoapplication-74 Model group: neos-pseudoapplication-2
Name drayage neos-pseudoapplication-89 neos-pseudoapplication-109 neos-pseudoapplication-74 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 / 1.061 2 / 1.472 3 / 1.498 4 / 1.501 5 / 1.544

Model Group Summary

The table below contains summary information for the five most similar model groups to app2-2 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. 1.061045 1
neos-pseudoapplication-89 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.472118 2
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.498272 3
neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.501255 4
neos-pseudoapplication-2 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.544196 5


Updated August 16, 2019