Instance - neos-932721


	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	qnet1 [MIPLIB]	d20200 [MIPLIB]	p500x2988d [MIPLIB]	neos-4738912-atrato [MIPLIB]	neos-953928 [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 / 0.767	2 / 0.782	3 / 0.786	4 / 0.799	5 / 0.800
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	p0201 [MIPLIB]	graphdraw-gemcutter [MIPLIB]	graphdraw-domain [MIPLIB]	neos-933966 [MIPLIB]	neos-3216931-puriri [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.	264 / 1.408	410 / 1.579	441 / 1.601	524 / 1.670	924 / 2.670
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 neos-932721, the five most similar instances to neos-932721 according to the MIC, and the five most similar instances to neos-932721 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	neos-932721 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	qnet1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.766580	1
	d20200 [MIPLIB]	COR@L test set	Instance coming from the COR@L test set with unknown origin	0.781922	2
	p500x2988d [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.786114	3
	neos-4738912-atrato [MIPLIB]	Jeff Linderoth	(None provided)	0.799331	4
	neos-953928 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.799615	5
MIPLIB Top 5	p0201 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.407696	264
	graphdraw-gemcutter [MIPLIB]	Cézar Augusto Nascimento e Silva	In the Graph Drawing problem a set of symbols must be placed in a plane and their connections routed. The objective is to produce aesthetically pleasant, easy to read diagrams. As a primary concern one usually tries to minimize edges crossing, edges' length, waste of space and number of bents in the connections. When formulated with these constraints the problem becomes NP-Hard . In practice many additional complicating requirements can be included, such as non-uniform sizes for symbols. Thus, some heuristics such as the generalized force-direct method and Simulated Annealing have been proposed to tackle this problem. uses a grid structure to approach the Entity-Relationship (ER) drawing problem, emphasizing the differences between ER drawing and the more classical circuit drawing problems. presented different ways of producing graph layouts (e.g.: tree, orthogonal, visibility representations, hierarchic, among others) for general graphs with applications on different subjects. The ability to automatically produce high quality layouts is very important in many applications, one of these is Software Engineering: the availability of easy to understand ER diagrams, for instance, can improve the time needed for developers to master database models and increase their productivity. Our solution approach involves two phases: (\\(i\\)) firstly the optimal placement of entities is solved, i.e.: entities are positioned so as to minimize the distances between connected entities; and (\\(ii\\)) secondly, edges are routed minimizing bends and avoiding the inclusion of connectors too close. We present the model for the first phase of our problem.	1.579490	410
	graphdraw-domain [MIPLIB]	Cézar Augusto Nascimento e Silva	In the Graph Drawing problem a set of symbols must be placed in a plane and their connections routed. The objective is to produce aesthetically pleasant, easy to read diagrams. As a primary concern one usually tries to minimize edges crossing, edges' length, waste of space and number of bents in the connections. When formulated with these constraints the problem becomes NP-Hard . In practice many additional complicating requirements can be included, such as non-uniform sizes for symbols. Thus, some heuristics such as the generalized force-direct method and Simulated Annealing have been proposed to tackle this problem. uses a grid structure to approach the Entity-Relationship (ER) drawing problem, emphasizing the differences between ER drawing and the more classical circuit drawing problems. presented different ways of producing graph layouts (e.g.: tree, orthogonal, visibility representations, hierarchic, among others) for general graphs with applications on different subjects. The ability to automatically produce high quality layouts is very important in many applications, one of these is Software Engineering: the availability of easy to understand ER diagrams, for instance, can improve the time needed for developers to master database models and increase their productivity. Our solution approach involves two phases: (\\(i\\)) firstly the optimal placement of entities is solved, i.e.: entities are positioned so as to minimize the distances between connected entities; and (\\(ii\\)) secondly, edges are routed minimizing bends and avoiding the inclusion of connectors too close. We present the model for the first phase of our problem.	1.600690	441
	neos-933966 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	1.669708	524
	neos-3216931-puriri [MIPLIB]	Jeff Linderoth	(None provided)	2.669789	924

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-99	neos-pseudoapplication-36	pr_product	neos-pseudoapplication-7	mc
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 / 1.306	2 / 1.387	3 / 1.397	4 / 1.449	5 / 1.470

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-932721 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-99	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.306271	1
	neos-pseudoapplication-36	Jeff Linderoth	(None provided)	1.387408	2
	pr_product	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.397491	3
	neos-pseudoapplication-7	Jeff Linderoth	(None provided)	1.448656	4
	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.470453	5

Type:	Instance
Submitter:	NEOS Server Submission
Description:	Imported from the MIPLIB2010 submissions.
	MIPLIB Entry

Model Group Assignment from MIPLIB:	neos-pseudoapplication-56
Assigned Model Group Rank/ISS in the MIC:	210 / 3.543

neos-932721: Instance-to-Instance Comparison Results

Parent Instance (neos-932721)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

neos-932721: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary