neos-pseudoapplication-92

Type: Model Group
Submitter: NEOS Server Submission
Description: Imported from the MIPLIB2010 submissions.

Parent Model Group (neos-pseudoapplication-92)

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

Model group: neos-pseudoapplication-92
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-585192 Component instance: neos-585467
Name neos-585192 neos-585467

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-40 Model group: set3 Model group: neos-pseudoapplication-7 Model group: supportvectormachine Model group: neos-pseudoapplication-109
Name neos-pseudoapplication-40 set3 neos-pseudoapplication-7 supportvectormachine neos-pseudoapplication-109
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 / 1.812 2 / 1.823 3 / 1.829 4 / 1.831 5 / 1.853

Model Group Summary

The table below contains summary information for neos-pseudoapplication-92, and for the five most similar model groups to neos-pseudoapplication-92 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
Parent Model Group neos-pseudoapplication-92 NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.000000 -
MIC Top 5 neos-pseudoapplication-40 Jeff Linderoth (None provided) 1.811527 1
set3 Kerem Akartunali Multi-item lot-sizing with backlogging. Solved by SCIP 3.1.1 parallelized by UG 0.7.5 linked to CPLEX 12.6 as an LP solver on HLRN III (https://www.hlrn.de/home/view/System3/CrayHardware). Due to time limit restrictions, four repeated runs, each starting from the checkpointing file of the previous run, were done. Each run had a time limit of 12 hours while using 6144 (runs 1) or 3072 cores (run 2 - 4). 1.823390 2
neos-pseudoapplication-7 Jeff Linderoth (None provided) 1.828632 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 1.830513 4
neos-pseudoapplication-109 Jeff Linderoth (None provided) 1.852961 5