satellites4-25: Instance-to-Instance Comparison Results

Type: Instance
Submitter: He Renjie
Description: 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.
MIPLIB Entry

Parent Instance (satellites4-25)

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

satellites4-25 Raw satellites4-25 Decomposed satellites4-25 Composite of MIC top 5 satellites4-25 Composite of MIPLIB top 5 satellites4-25 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.
satellites3-25 decomposed satellites2-25 decomposed sp98ar decomposed sp97ar decomposed piperout-d27 decomposed
Name satellites3-25 [MIPLIB] satellites2-25 [MIPLIB] sp98ar [MIPLIB] sp97ar [MIPLIB] piperout-d27 [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 / 0.612 2 / 0.820 3 / 0.862 4 / 0.914 5 / 1.051
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
satellites3-25 raw satellites2-25 raw sp98ar raw sp97ar raw piperout-d27 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.
satellites3-25 decomposed satellites2-25 decomposed piperout-d20 decomposed satellites2-60-fs decomposed satellites2-40 decomposed
Name satellites3-25 [MIPLIB] satellites2-25 [MIPLIB] piperout-d20 [MIPLIB] satellites2-60-fs [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.
1 / 0.612 2 / 0.820 6 / 1.127 85 / 1.754 2* / 0.820*
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
satellites3-25 raw satellites2-25 raw piperout-d20 raw satellites2-60-fs raw satellites2-40 raw

Instance Summary

The table below contains summary information for satellites4-25, the five most similar instances to satellites4-25 according to the MIC, and the five most similar instances to satellites4-25 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance satellites4-25 [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. 0.000000 -
MIC Top 5 satellites3-25 [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. 0.611963 1
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. 0.819706 2
sp98ar [MIPLIB] J. Goessens, S. v. Hoessel, L. Kroon Railway line planning instance 0.861618 3
sp97ar [MIPLIB] J. Goessens, S. v. Hoessel, L. Kroon Railway line planning instance. Solved with Gurobi 4.5.1 on a 12-core Linux system in 2678.77 sec. 0.913757 4
piperout-d27 [MIPLIB] Gleb Belov Pipe routing with flexibility constraints. Instances with _GCM in the name are simple routing 1.050710 5
MIPLIB Top 5 satellites3-25 [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. 0.611963 1
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. 0.819706 2
piperout-d20 [MIPLIB] Gleb Belov Pipe routing with flexibility constraints. Instances with _GCM in the name are simple routing 1.126521 6
satellites2-60-fs [MIPLIB] He Renjie Satellite scheduling instance 1.753864 85
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. 0.819706* 2*


satellites4-25: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: satellites
Assigned Model Group Rank/ISS in the MIC: 1 / 1.318

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: satellites Model group: fhnw-sq Model group: neos-pseudoapplication-70 Model group: neos-pseudoapplication-108 Model group: neos-pseudoapplication-1
Name satellites fhnw-sq neos-pseudoapplication-70 neos-pseudoapplication-108 neos-pseudoapplication-1
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 / 1.318 2 / 1.407 3 / 1.561 4 / 1.636 5 / 1.640

Model Group Summary

The table below contains summary information for the five most similar model groups to satellites4-25 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 satellites He Renjie Ihe attachment is some models generated from real life satelliteschedule problem data,these models 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 models. 1.318221 1
fhnw-sq Simon Felix Combinatorial toy fesability problem: Magic square. Models 1 & 2 are feasible, model 3 is unknown. 1.406820 2
neos-pseudoapplication-70 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.561262 3
neos-pseudoapplication-108 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.635688 4
neos-pseudoapplication-1 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.639681 5


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