Instance - npmv07


	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.

Decomposed These decomposed images were created by GCG.
Name	fhnw-binschedule0 [MIPLIB]	australia-abs-cta [MIPLIB]	neos-5140963-mincio [MIPLIB]	gsvm2rl3 [MIPLIB]	neos-3230376-yser [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 / 0.952	2 / 0.953	3 / 0.961	4 / 0.999	5 / 1.009
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.

Decomposed These decomposed images were created by GCG.
Name	misc04inf [MIPLIB]	Test3 [MIPLIB]	bharat [MIPLIB]	neos-5273874-yomtsa [MIPLIB]	gasprod2-1 [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.	247 / 1.382	305 / 1.434	513 / 1.576	594 / 1.654	940 / 2.922
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.

Instance Summary

The table below contains summary information for npmv07, the five most similar instances to npmv07 according to the MIC, and the five most similar instances to npmv07 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	npmv07 [MIPLIB]	Q. Chen	Unknown application	0.000000	-
MIC Top 5	fhnw-binschedule0 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	0.951732	1
	australia-abs-cta [MIPLIB]	Jordi Castro	Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data.	0.953052	2
	neos-5140963-mincio [MIPLIB]	Jeff Linderoth	(None provided)	0.960888	3
	gsvm2rl3 [MIPLIB]	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	0.999478	4
	neos-3230376-yser [MIPLIB]	Jeff Linderoth	(None provided)	1.009057	5
MIPLIB Top 5	misc04inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.382318	247
	Test3 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.434306	305
	bharat [MIPLIB]	Gavin Goodall	MILP for optimizing fuel use at a forward operating base	1.575935	513
	neos-5273874-yomtsa [MIPLIB]	Hans Mittelmann	similar to ns5223573 submitted in January	1.653746	594
	gasprod2-1 [MIPLIB]	Andrew Stamps	Production planning model of a second industrial gas system. Two model instances included.	2.922399	940

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-109	neos-pseudoapplication-74	supportvectormachine	scp	drayage
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 / 1.204	2 / 1.401	3 / 1.511	4 / 1.535	5 / 1.558

Model Group Summary

The table below contains summary information for the five most similar model groups to npmv07 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.204376	1
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.401000	2
	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	1.511478	3
	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	1.535381	4
	drayage	F. Jordan Srour	The .rar file contains three folders: 1) R_mps with all of the models (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the models in the form of a pdf.	1.558193	5

Type:	Instance
Submitter:	Q. Chen
Description:	Unknown application
	MIPLIB Entry

Model Group Assignment from MIPLIB:	no model group assignment
Assigned Model Group Rank/ISS in the MIC:	N.A. / N.A.

npmv07: Instance-to-Instance Comparison Results

Parent Instance (npmv07)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

npmv07: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary