neos-5149806-wieprz: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Hans Mittelmann
Description: see ZIMPL model and name on it
MIPLIB Entry

Parent Instance (neos-5149806-wieprz)

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

neos-5149806-wieprz Raw neos-5149806-wieprz Decomposed neos-5149806-wieprz Composite of MIC top 5 neos-5149806-wieprz Composite of MIPLIB top 5 neos-5149806-wieprz 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-5192052-neckar decomposed g503inf decomposed loopha13 decomposed gr4x6 decomposed lotsize decomposed
Name neos-5192052-neckar [MIPLIB] g503inf [MIPLIB] loopha13 [MIPLIB] gr4x6 [MIPLIB] lotsize [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 / 1.112 2 / 1.117 3 / 1.124 4 / 1.131 5 / 1.151
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-5192052-neckar raw g503inf raw loopha13 raw gr4x6 raw lotsize 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-4391920-timok decomposed neos-4359986-taipa decomposed neos-555884 decomposed neos-738098 decomposed fhnw-binschedule2 decomposed
Name neos-4391920-timok [MIPLIB] neos-4359986-taipa [MIPLIB] neos-555884 [MIPLIB] neos-738098 [MIPLIB] fhnw-binschedule2 [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.
232 / 1.360 254 / 1.379 391 / 1.485 768 / 2.009 894 / 2.433
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos-4391920-timok raw neos-4359986-taipa raw neos-555884 raw neos-738098 raw fhnw-binschedule2 raw

Instance Summary

The table below contains summary information for neos-5149806-wieprz, the five most similar instances to neos-5149806-wieprz according to the MIC, and the five most similar instances to neos-5149806-wieprz according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-5149806-wieprz [MIPLIB] Hans Mittelmann see ZIMPL model and name on it 0.000000 -
MIC Top 5 neos-5192052-neckar [MIPLIB] Jeff Linderoth (None provided) 1.111993 1
g503inf [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.116586 2
loopha13 [MIPLIB] Hamideh This is a Gams model which uses CPLEX as a solver. 1.123585 3
gr4x6 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.131118 4
lotsize [MIPLIB] Dinakar Gade, Simge Kucukyavuz Multi-item lot sizing with service level constraints 1.151426 5
MIPLIB Top 5 neos-4391920-timok [MIPLIB] Jeff Linderoth (None provided) 1.359982 232
neos-4359986-taipa [MIPLIB] Jeff Linderoth (None provided) 1.379023 254
neos-555884 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.485480 391
neos-738098 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 2.009265 768
fhnw-binschedule2 [MIPLIB] Simon Felix Scheduling/assignment for an industrial production pipeline 2.433058 894


neos-5149806-wieprz: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-15
Assigned Model Group Rank/ISS in the MIC: 180 / 3.293

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-74 Model group: scp Model group: ustun Model group: hypothyroid Model group: map
Name neos-pseudoapplication-74 scp ustun hypothyroid map
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 / 1.594 2 / 1.722 3 / 1.724 4 / 1.728 5 / 1.734

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-5149806-wieprz according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.593958 1
scp Shunji Umetani This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 1.722082 2
ustun Berk Ustun MIP to create optimized data-driven scoring systems. See: https://github.com/ustunb/miplib2017-slim#miplib2017-slim for a description. 1.723665 3
hypothyroid 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 1.727860 4
map Kiyan Ahmadizadeh Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem 1.734384 5