aflow

Type: Model Group
Submitter: T. Achterberg
Description: Arborescence flow problem on a graph with 40 nodes and edge density 0.9

Parent Model Group (aflow)

All other model groups below were be compared against this "query" model group.

Model group: aflow
Model Group Composite (MGC) image Composite of the decomposed CCM images for every instance in the query model group.

Component Instances (Decomposed)

These are the decomposed CCM images for each instance in the query model group.

These are component instance images.
Component instance: aflow30a Component instance: aflow40b
Name aflow30a aflow40b

MIC Top 5 Model Groups

These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric.

FIXME - These are model group composite images.
Model group: neos-pseudoapplication-105 Model group: nus-prxy Model group: beasley Model group: neos-pseudoapplication-75 Model group: ab
Name neos-pseudoapplication-105 nus-prxy beasley neos-pseudoapplication-75 ab
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query model group and all other model groups. A smaller ISS value indicates greater similarity.
1 / 0.663 2 / 0.772 3 / 0.830 4 / 0.932 5 / 0.937

Model Group Summary

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

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
Parent Model Group aflow T. Achterberg Arborescence flow problem on a graph with 40 nodes and edge density 0.9 0.000000 -
MIC Top 5 neos-pseudoapplication-105 Jeff Linderoth (None provided) 0.662892 1
nus-prxy MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.772471 2
beasley F. Ortega, L. Wolsey Fixed cost network flow problems 0.829590 3
neos-pseudoapplication-75 NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.932069 4
ab MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.937098 5