Instance - enlight8

enlight8: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	A. Zymolka
Description:	Model to solve instance of a combinatorial game ``EnLight'' 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	stein15inf [MIPLIB]	stein9inf [MIPLIB]	markshare_5_0 [MIPLIB]	gr4x6 [MIPLIB]	markshare_4_0 [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 / 0.779	2 / 0.824	3 / 0.847	4 / 0.849	5 / 0.856
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	enlight4 [MIPLIB]	nexp-50-20-1-1 [MIPLIB]	enlight_hard [MIPLIB]	enlight11 [MIPLIB]	enlight9 [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.	8 / 0.882	70 / 1.043	97 / 1.076	102 / 1.081	120 / 1.106
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 enlight8, the five most similar instances to enlight8 according to the MIC, and the five most similar instances to enlight8 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	enlight8 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	stein15inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.779362	1
	stein9inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.824105	2
	markshare_5_0 [MIPLIB]	G. Cornuéjols, M. Dawande	Market sharing problem	0.846991	3
	gr4x6 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.848847	4
	markshare_4_0 [MIPLIB]	G. Cornuéjols, M. Dawande	Market sharing problem	0.856499	5
MIPLIB Top 5	enlight4 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.882486	8
	nexp-50-20-1-1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.043488	70
	enlight_hard [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	1.075779	97
	enlight11 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	1.080763	102
	enlight9 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight''	1.105520	120

enlight8: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	enlight
Assigned Model Group Rank/ISS in the MIC:	11 / 1.501

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-74	map	scp	neos-pseudoapplication-2	neos-pseudoapplication-109
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 / 1.239	2 / 1.249	3 / 1.306	4 / 1.326	5 / 1.342

Model Group Summary

The table below contains summary information for the five most similar model groups to enlight8 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.239033	1
	map	Kiyan Ahmadizadeh	Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem	1.249213	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	1.306215	3
	neos-pseudoapplication-2	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.325716	4
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.342268	5

enlight8: Instance-to-Instance Comparison Results

Parent Instance (enlight8)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

enlight8: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary