bc

Type: Model Group
Submitter: MIPLIB submission pool
Description: Imported from the MIPLIB2010 submissions.

Parent Model Group (bc)

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

Model group: bc
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: bc1
Name bc1

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: mik_250 Model group: neos-pseudoapplication-108 Model group: timtab Model group: supportvectormachine Model group: SiweiSun
Name mik_250 neos-pseudoapplication-108 timtab supportvectormachine SiweiSun
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 / 1.467 2 / 1.914 3 / 2.006 4 / 2.022 5 / 2.052

Model Group Summary

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

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
Parent Model Group bc MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 mik_250 MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.466766 1
neos-pseudoapplication-108 NEOS Server Submission Model coming from the NEOS Server with unknown application 1.914387 2
timtab C. Liebchen, R. Möhring Public transport scheduling problem 2.005673 3
supportvectormachine Toni Sorrell Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization 2.021580 4
SiweiSun Siwei Sun These models come from my cryptographic research and are used to search for the best differential characteristics of the round-reduced versions of the block cipher Serpent with the mixed-integer programming technique. For all the models, including S1234.lp, S56701.lp, S456701.lp, I have found a feasible solution in the corresponding mst file. The challenge is that can we find better solutions or can we find the best solutions. 2.052102 5