Instance - genus-g61-25


	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	ns930473 [MIPLIB]	supportcase43 [MIPLIB]	proteindesign122trx11p8 [MIPLIB]	proteindesign121pgb11p9 [MIPLIB]	proteindesign121hz512p19 [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 / 0.835	2 / 1.032	3 / 1.189	4 / 1.191	5 / 1.199
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-3230376-yser [MIPLIB]	genus-sym-grafo5708-48 [MIPLIB]	neos-950242 [MIPLIB]	genus-sym-g62-2 [MIPLIB]	supportcase10 [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.	53 / 1.461	687 / 1.888	796 / 2.069	808 / 2.093	935 / 2.672
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 genus-g61-25, the five most similar instances to genus-g61-25 according to the MIC, and the five most similar instances to genus-g61-25 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	genus-g61-25 [MIPLIB]	Stephan Beyer	Minimum Genus instance of g.61.25 (undirected) of the AT&T Graphs by Stephen C. North.	0.000000	-
MIC Top 5	ns930473 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	0.834863	1
	supportcase43 [MIPLIB]	Domenico Salvagnin	Instance coming from IBM developerWorks forum with unknown application.	1.031539	2
	proteindesign122trx11p8 [MIPLIB]	Gleb Belov	Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38	1.189348	3
	proteindesign121pgb11p9 [MIPLIB]	Gleb Belov	Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38	1.190664	4
	proteindesign121hz512p19 [MIPLIB]	Gleb Belov	Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38	1.198913	5
MIPLIB Top 5	neos-3230376-yser [MIPLIB]	Jeff Linderoth	(None provided)	1.461379	53
	genus-sym-grafo5708-48 [MIPLIB]	Stephan Beyer	Minimum Genus instance of grafo5708.48 from the Rome Graphs, with symmetry-breaking constraints.	1.887502	687
	neos-950242 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	2.068703	796
	genus-sym-g62-2 [MIPLIB]	Stephan Beyer	Minimum Genus instance, with symmetry breaking constraints, of g.62.2 (undirected) of the AT&T Graphs by Stephen C. North.	2.093301	808
	supportcase10 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	2.671804	935

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	proteindesign	scp	neos-pseudoapplication-84	neos-pseudoapplication-109	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 / 1.753	2 / 1.958	3 / 2.015	4 / 2.069	5 / 2.094

Model Group Summary

The table below contains summary information for the five most similar model groups to genus-g61-25 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	proteindesign	Gleb Belov	Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38	1.753058	1
	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	1.957534	2
	neos-pseudoapplication-84	Jeff Linderoth	(None provided)	2.015130	3
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	2.069065	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.	2.094005	5

Type:	Instance
Submitter:	Stephan Beyer
Description:	Minimum Genus instance of g.61.25 (undirected) of the AT&T Graphs by Stephen C. North.
	MIPLIB Entry

Model Group Assignment from MIPLIB:	genus
Assigned Model Group Rank/ISS in the MIC:	213 / 3.585

genus-g61-25: Instance-to-Instance Comparison Results

Parent Instance (genus-g61-25)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

genus-g61-25: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary