neos-585192: Instance-to-Instance Comparison Results

Type: Instance
Submitter: NEOS Server Submission
Description: Imported from the MIPLIB2010 submissions.
MIPLIB Entry

Parent Instance (neos-585192)

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

neos-585192 Raw neos-585192 Decomposed neos-585192 Composite of MIC top 5 neos-585192 Composite of MIPLIB top 5 neos-585192 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.
neos-585467 decomposed neos-3065804-namu decomposed newdano decomposed bienst2 decomposed bienst1 decomposed
Name neos-585467 [MIPLIB] neos-3065804-namu [MIPLIB] newdano [MIPLIB] bienst2 [MIPLIB] bienst1 [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 / 0.296 2 / 1.123 3 / 1.145 4 / 1.147 5 / 1.149
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-585467 raw neos-3065804-namu raw newdano raw bienst2 raw bienst1 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-585467 decomposed Test3 decomposed traininstance6 decomposed traininstance2 decomposed minutedispatchstrategy decomposed
Name neos-585467 [MIPLIB] Test3 [MIPLIB] traininstance6 [MIPLIB] traininstance2 [MIPLIB] minutedispatchstrategy [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 / 0.296 329 / 1.531 600 / 1.732 641 / 1.781 645 / 1.785
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-585467 raw Test3 raw traininstance6 raw traininstance2 raw minutedispatchstrategy raw

Instance Summary

The table below contains summary information for neos-585192, the five most similar instances to neos-585192 according to the MIC, and the five most similar instances to neos-585192 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-585192 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 neos-585467 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.296412 1
neos-3065804-namu [MIPLIB] Jeff Linderoth (None provided) 1.123218 2
newdano [MIPLIB] Daniel Bienstock Telecommunications applications 1.144999 3
bienst2 [MIPLIB] H. Mittelmann Relaxed version of problem bienst 1.147404 4
bienst1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.148763 5
MIPLIB Top 5 neos-585467 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.296412 1
Test3 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.530724 329
traininstance6 [MIPLIB] Gleb Belov Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38 1.732308 600
traininstance2 [MIPLIB] Gleb Belov Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38 1.780648 641
minutedispatchstrategy [MIPLIB] Mark Husted Dispatch Strategy for a small micro-grid 1.784850 645


neos-585192: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-92
Assigned Model Group Rank/ISS in the MIC: 1 / 0.435

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: neos-pseudoapplication-92 Model group: neos-pseudoapplication-109 Model group: neos-pseudoapplication-7 Model group: supportvectormachine Model group: neos-pseudoapplication-40
Name neos-pseudoapplication-92 neos-pseudoapplication-109 neos-pseudoapplication-7 supportvectormachine neos-pseudoapplication-40
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 / 0.435 2 / 1.679 3 / 1.683 4 / 1.723 5 / 1.723

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-585192 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-92 NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.435358 1
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.678938 2
neos-pseudoapplication-7 Jeff Linderoth (None provided) 1.682521 3
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 1.723434 4
neos-pseudoapplication-40 Jeff Linderoth (None provided) 1.723460 5