neos22: Instance-to-Instance Comparison Results

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

Parent Instance (neos22)

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

neos22 Raw neos22 Decomposed neos22 Composite of MIC top 5 neos22 Composite of MIPLIB top 5 neos22 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.
sing44 decomposed neos-941313 decomposed sing326 decomposed sing17 decomposed sing11 decomposed
Name sing44 [MIPLIB] neos-941313 [MIPLIB] sing326 [MIPLIB] sing17 [MIPLIB] sing11 [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 / 0.407 2 / 0.410 3 / 0.415 4 / 0.472 5 / 0.474
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
sing44 raw neos-941313 raw sing326 raw sing17 raw sing11 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.
supportcase29 decomposed b2c1s1 decomposed neos-1367061 decomposed neos-3025225-shelon decomposed gasprod2-2 decomposed
Name supportcase29 [MIPLIB] b2c1s1 [MIPLIB] neos-1367061 [MIPLIB] neos-3025225-shelon [MIPLIB] gasprod2-2 [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.
12 / 0.510 266 / 1.298 447 / 1.592 566 / 1.698 932 / 2.870
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
supportcase29 raw b2c1s1 raw neos-1367061 raw neos-3025225-shelon raw gasprod2-2 raw

Instance Summary

The table below contains summary information for neos22, the five most similar instances to neos22 according to the MIC, and the five most similar instances to neos22 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance neos22 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 sing44 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.407226 1
neos-941313 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 0.410435 2
sing326 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.414857 3
sing17 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.472307 4
sing11 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.473694 5
MIPLIB Top 5 supportcase29 [MIPLIB] Domenico Salvagnin Instance coming from IBM developerWorks forum with unknown application. 0.509672 12
b2c1s1 [MIPLIB] M. Vyve, Y. Pochet Lot sizing instance. Solved by Gurobi 4.6.1 (12 threads) in 116575 seconds (January 2012). 1.297572 266
neos-1367061 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.592321 447
neos-3025225-shelon [MIPLIB] Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 1.697972 566
gasprod2-2 [MIPLIB] Andrew Stamps Production planning model of a second industrial gas system. Two model instances included. 2.870268 932


neos22: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: neos-pseudoapplication-27
Assigned Model Group Rank/ISS in the MIC: 1 / 0.0

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-27 Model group: sing Model group: graphs Model group: polygonpack Model group: n37
Name neos-pseudoapplication-27 sing graphs polygonpack n37
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 / 0.000 2 / 0.737 3 / 0.749 4 / 0.865 5 / 0.876

Model Group Summary

The table below contains summary information for the five most similar model groups to neos22 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 neos-pseudoapplication-27 NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 1
sing Daniel Espinoza Imported from the MIPLIB2010 submissions. 0.737112 2
graphs Michael Bastubbe Packing Cuts in Undirected Graphs. Models are described in 4.1. 0.749482 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. 0.865130 4
n37 J. Aronson Fixed charge transportation problem 0.875915 5