Instance - misc05inf

misc05inf: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	MIPLIB submission pool
Description:	Imported from the MIPLIB2010 submissions.
	MIPLIB Entry


	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	ger50-17-ptp-pop-6t [MIPLIB]	mad [MIPLIB]	neos-2978205-isar [MIPLIB]	neos-3322547-alsek [MIPLIB]	neos-848589 [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 / 0.833	2 / 0.847	3 / 0.965	4 / 0.989	5 / 1.000
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	timtab1CUTS [MIPLIB]	misc07 [MIPLIB]	physiciansched5-3 [MIPLIB]	roll3000 [MIPLIB]	neos-5182409-nasivi [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.	11 / 1.117	183 / 1.494	732 / 1.816	819 / 1.908	849 / 1.985
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 misc05inf, the five most similar instances to misc05inf according to the MIC, and the five most similar instances to misc05inf according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	misc05inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	ger50-17-ptp-pop-6t [MIPLIB]	C. Raack	Multi-layer network design problem using a link-flow formulation over a path-flow formulation.	0.832704	1
	mad [MIPLIB]	Koichi Fujii	Mean-Absolute Deviation Model for Car Dealerships	0.846592	2
	neos-2978205-isar [MIPLIB]	Jeff Linderoth	(None provided)	0.965453	3
	neos-3322547-alsek [MIPLIB]	Jeff Linderoth	(None provided)	0.989350	4
	neos-848589 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.999838	5
MIPLIB Top 5	timtab1CUTS [MIPLIB]	C. Liebchen, R. Möhring	Public transport scheduling problem	1.117209	11
	misc07 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.494272	183
	physiciansched5-3 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.815938	732
	roll3000 [MIPLIB]	L. Kroon	Rolling stock and line planning instance	1.907511	819
	neos-5182409-nasivi [MIPLIB]	Jeff Linderoth	(None provided)	1.984633	849

misc05inf: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	misc
Assigned Model Group Rank/ISS in the MIC:	137 / 2.517

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	scp	neos-pseudoapplication-21	timtab	markshare	stein
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 / 1.462	2 / 1.529	3 / 1.568	4 / 1.662	5 / 1.669

Model Group Summary

The table below contains summary information for the five most similar model groups to misc05inf according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	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	1.462226	1
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.528963	2
	timtab	C. Liebchen, R. Möhring	Public transport scheduling problem	1.568186	3
	markshare	G. Cornuéjols, M. Dawande	Market sharing problem	1.662221	4
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.668666	5

misc05inf: Instance-to-Instance Comparison Results

Parent Instance (misc05inf)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

misc05inf: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary