neos-5115478-kaveri: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Jeff Linderoth
Description: (None provided)
MIPLIB Entry

Parent Instance (neos-5115478-kaveri)

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

neos-5115478-kaveri Raw neos-5115478-kaveri Decomposed neos-5115478-kaveri Composite of MIC top 5 neos-5115478-kaveri Composite of MIPLIB top 5 neos-5115478-kaveri 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.
rmatr100-p10 decomposed rmatr100-p5 decomposed supportcase42 decomposed neos-3046601-motu decomposed neos-3046615-murg decomposed
Name rmatr100-p10 [MIPLIB] rmatr100-p5 [MIPLIB] supportcase42 [MIPLIB] neos-3046601-motu [MIPLIB] neos-3046615-murg [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 / 0.461 2 / 0.477 3 / 0.512 4 / 0.540 5 / 0.557
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
rmatr100-p10 raw rmatr100-p5 raw supportcase42 raw neos-3046601-motu raw neos-3046615-murg 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.
supportcase26 decomposed ic97_potential decomposed icir97_potential decomposed liu decomposed neos-5107597-kakapo decomposed
Name supportcase26 [MIPLIB] ic97_potential [MIPLIB] icir97_potential [MIPLIB] liu [MIPLIB] neos-5107597-kakapo* [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.
6 / 0.589 205 / 1.255 223 / 1.285 403 / 1.496 0* / 0.000*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
supportcase26 raw ic97_potential raw icir97_potential raw liu raw neos-5107597-kakapo raw

Instance Summary

The table below contains summary information for neos-5115478-kaveri, the five most similar instances to neos-5115478-kaveri according to the MIC, and the five most similar instances to neos-5115478-kaveri according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-5115478-kaveri [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 rmatr100-p10 [MIPLIB] Dmitry Krushinsky Instance coming from a formulation of the p-Median problem using square cost matrices 0.461382 1
rmatr100-p5 [MIPLIB] Dmitry Krushinsky Instance coming from a formulation of the p-Median problem using square cost matrices 0.476786 2
supportcase42 [MIPLIB] Domenico Salvagnin Instance coming from IBM developerWorks forum with unknown application. 0.511859 3
neos-3046601-motu [MIPLIB] Jeff Linderoth (None provided) 0.539956 4
neos-3046615-murg [MIPLIB] Jeff Linderoth (None provided) 0.557002 5
MIPLIB Top 5 supportcase26 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 0.589052 6
ic97_potential [MIPLIB] L. Peeters A model for cyclic railway timetable optimization 1.254551 205
icir97_potential [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.284899 223
liu [MIPLIB] X. Liu Floorplan and placement problem in the physical design of VLSI circuits 1.495779 403
neos-5107597-kakapo* [MIPLIB] Jeff Linderoth (None provided) 0.000000* 0*


neos-5115478-kaveri: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-54
Assigned Model Group Rank/ISS in the MIC: 1 / 0.000

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-54 Model group: rmatr Model group: map Model group: polygonpack Model group: sp_product
Name neos-pseudoapplication-54 rmatr map polygonpack sp_product
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 / 0.001 2 / 0.949 3 / 1.104 4 / 1.255 5 / 1.358

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-5115478-kaveri according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-54 Jeff Linderoth (None provided) 0.000977 1
rmatr Dmitry Krushinsky Model coming from a formulation of the p-Median problem using square cost matrices 0.949383 2
map Kiyan Ahmadizadeh Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem 1.103756 3
polygonpack Antonio Frangioni Given a set P of polygons, not necessarily convex, and a rectangle, we want to find the subset S of P with largest possible total area and a position every p in S so that there are no overlaps and they are all included in the rectangle. We allow a small set of rotations (0, 90, 180, 270 degrees) for every polygon. The problem is simplified w.r.t. the real application because the polygons do not have (fully encircled) "holes", which are supposedly filled-in separately, although they can have "bays". Models are saved as .lp. Model LpPackingModel_Dim means that we are trying to pack polygons taken from set ; there are currently 5 different sets, and is 7, 10 or 15. 1.254579 4
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.358251 5


* neos-5107597-kakapo is a duplicate of neos-5115478-kaveri.