neos-pseudoapplication-40

Type: Model Group
Submitter: Jeff Linderoth
Description: (None provided)

Parent Model Group (neos-pseudoapplication-40)

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

Model group: neos-pseudoapplication-40
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: neos-4338804-snowy
Name neos-4338804-snowy

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: scp Model group: pfour Model group: neos-pseudoapplication-74 Model group: neos-pseudoapplication-21 Model group: timtab
Name scp pfour neos-pseudoapplication-74 neos-pseudoapplication-21 timtab
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 / 1.516 2 / 1.558 3 / 1.575 4 / 1.594 5 / 1.603

Model Group Summary

The table below contains summary information for neos-pseudoapplication-40, and for the five most similar model groups to neos-pseudoapplication-40 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
Parent Model Group neos-pseudoapplication-40 Jeff Linderoth (None provided) 0.000000 -
MIC Top 5 scp Shunji Umetani This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 1.515845 1
pfour MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.558402 2
neos-pseudoapplication-74 Jeff Linderoth (None provided) 1.575402 3
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.593636 4
timtab C. Liebchen, R. Möhring Public transport scheduling problem 1.602987 5