Instance - t11nonreg


	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	f2gap40400 [MIPLIB]	gen-ip054 [MIPLIB]	gt2 [MIPLIB]	markshare2 [MIPLIB]	gen-ip002 [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 / 1.133	2 / 1.195	3 / 1.229	4 / 1.232	5 / 1.234
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	neos-827015 [MIPLIB]	neos-780889 [MIPLIB]	bab6 [MIPLIB]	supportcase19 [MIPLIB]	neos-827015** [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.	34 / 1.351	130 / 1.492	771 / 1.972	894 / 2.315	N.A. / N.A.
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 t11nonreg, the five most similar instances to t11nonreg according to the MIC, and the five most similar instances to t11nonreg according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	t11nonreg [MIPLIB]	Sujayandra Vaddagiri	RoutingProblem	0.000000	-
MIC Top 5	f2gap40400 [MIPLIB]	Salim Haddadi	Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600)	1.132653	1
	gen-ip054 [MIPLIB]	Simon Bowly	Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms.	1.194504	2
	gt2 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.228669	3
	markshare2 [MIPLIB]	G. Cornuéjols, M. Dawande	Market sharing problem	1.232237	4
	gen-ip002 [MIPLIB]	Simon Bowly	Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms.	1.234162	5
MIPLIB Top 5	neos-827015 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.350768	34
	neos-780889 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.492476	130
	bab6 [MIPLIB]	Elmar Swarat	Vehicle routing with profit and an integrated crew scheduling like bab2 - bab5. Instances differ in multi-commodity-flow formulation (path oder arc formulation) or time discretization and some are quite easy to solve while others (bab2, bab3 and bab6) are very difficult.	1.971531	771
	supportcase19 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	2.315173	894
	neos-827015** [MIPLIB]	George Fonseca	Educational timetabling problems from several real schools/universities around the world. These instances were originally expressed in the xhstt file format [1] and formulated as Integer Programming models as described at [2].	N.A.**	N.A.**

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	markshare	neos-pseudoapplication-74	scp	stein	enlight
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 / 1.687	2 / 1.715	3 / 1.723	4 / 1.816	5 / 1.836

Model Group Summary

The table below contains summary information for the five most similar model groups to t11nonreg according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	markshare	G. Cornuéjols, M. Dawande	Market sharing problem	1.687444	1
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.715142	2
	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	1.722801	3
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.815660	4
	enlight	A. Zymolka	Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	1.835799	5

Type:	Instance
Submitter:	Sujayandra Vaddagiri
Description:	RoutingProblem
	MIPLIB Entry

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

t11nonreg: Instance-to-Instance Comparison Results

Parent Instance (t11nonreg)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

t11nonreg: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary