neos-3083784-nive: Instance-to-Instance Comparison Results

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

Parent Instance (neos-3083784-nive)

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

neos-3083784-nive Raw neos-3083784-nive Decomposed neos-3083784-nive Composite of MIC top 5 neos-3083784-nive Composite of MIPLIB top 5 neos-3083784-nive 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.
shiftreg2-7 decomposed shiftreg1-4 decomposed neos22 decomposed neos-941313 decomposed sing5 decomposed
Name shiftreg2-7 [MIPLIB] shiftreg1-4 [MIPLIB] neos22 [MIPLIB] neos-941313 [MIPLIB] sing5 [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 / 0.475 2 / 0.497 3 / 0.514 4 / 0.521 5 / 0.528
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
shiftreg2-7 raw shiftreg1-4 raw neos22 raw neos-941313 raw sing5 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.
neos2 decomposed piperout-08 decomposed neos-950242 decomposed satellites2-25 decomposed satellites2-40 decomposed
Name neos2 [MIPLIB] piperout-08 [MIPLIB] neos-950242 [MIPLIB] satellites2-25 [MIPLIB] satellites2-40* [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.
16 / 0.609 563 / 1.670 730 / 1.949 904 / 2.591 904* / 2.591*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
neos2 raw piperout-08 raw neos-950242 raw satellites2-25 raw satellites2-40 raw

Instance Summary

The table below contains summary information for neos-3083784-nive, the five most similar instances to neos-3083784-nive according to the MIC, and the five most similar instances to neos-3083784-nive according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos-3083784-nive [MIPLIB] Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 shiftreg2-7 [MIPLIB] Domenico Salvagnin Multi-activity shift scheduling problem with 2 activities and 12 employees, using an implicit model based on a regular language. 0.475021 1
shiftreg1-4 [MIPLIB] Domenico Salvagnin Multi-activity shift scheduling problem with 1 activity and 12 employees, using an implicit model based on a regular language. 0.496853 2
neos22 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.513512 3
neos-941313 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 0.521427 4
sing5 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.528405 5
MIPLIB Top 5 neos2 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.609020 16
piperout-08 [MIPLIB] Gleb Belov Pipe routing with flexibility constraints. Instances with _GCM in the name are simple routing 1.669855 563
neos-950242 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.948945 730
satellites2-25 [MIPLIB] He Renjie Ihe attachment is some instances generated from real life satelliteschedule problem data,these instances are easier comparable to real lifeproblem. The work is done by me and Alberto Ceselli from Univeristy ofMilano. I donnot know it is hard enough or not, if needs , I can generatemore difficult instances. 2.590910 904
satellites2-40* [MIPLIB] He Renjie The attachment is some instances generated from real life satelliteschedule problem data,these instances are easier comparable to real lifeproblem. The work is done by me and Alberto Ceselli from Univeristy ofMilano. I donnot know it is hard enough or not, if needs , I can generatemore difficult instances. 2.590910* 904*


neos-3083784-nive: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-72
Assigned Model Group Rank/ISS in the MIC: 146 / 3.053

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: map Model group: sp_product Model group: allcolor Model group: rmatr Model group: polygonpack
Name map sp_product allcolor rmatr polygonpack
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 / 0.736 2 / 0.750 3 / 0.802 4 / 0.820 5 / 0.851

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3083784-nive according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 map Kiyan Ahmadizadeh Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem 0.735762 1
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.749694 2
allcolor Domenico Salvagnin Prepack optimization model. 0.801530 3
rmatr Dmitry Krushinsky Model coming from a formulation of the p-Median problem using square cost matrices 0.819602 4
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. 0.851424 5


* satellites2-40 is a duplicate of satellites2-25.