Instance - enlight4

enlight4: 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	flugplinf [MIPLIB]	flugpl [MIPLIB]	stein9inf [MIPLIB]	p2m2p1m1p0n100 [MIPLIB]	gr4x6 [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 / 0.516	2 / 0.558	3 / 0.558	4 / 0.592	5 / 0.606
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	enlight11 [MIPLIB]	enlight_hard [MIPLIB]	enlight9 [MIPLIB]	enlight8 [MIPLIB]	nexp-50-20-1-1 [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.	13 / 0.742	16 / 0.766	36 / 0.854	49 / 0.882	71 / 0.938
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 enlight4, the five most similar instances to enlight4 according to the MIC, and the five most similar instances to enlight4 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	enlight4 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	flugplinf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.515586	1
	flugpl [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.558214	2
	stein9inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.558219	3
	p2m2p1m1p0n100 [MIPLIB]	B. Krishnamoorthy, G. Pataki	A 0-1 knapsack problem constructed to be difficult	0.592433	4
	gr4x6 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.606462	5
MIPLIB Top 5	enlight11 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.742071	13
	enlight_hard [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.765641	16
	enlight9 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight''	0.853525	36
	enlight8 [MIPLIB]	A. Zymolka	Model to solve instance of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	0.882486	49
	nexp-50-20-1-1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.938093	71

enlight4: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	enlight
Assigned Model Group Rank/ISS in the MIC:	17 / 1.600

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-74	neos-pseudoapplication-109	map	neos-pseudoapplication-2	scp
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 / 1.090	2 / 1.217	3 / 1.298	4 / 1.337	5 / 1.366

Model Group Summary

The table below contains summary information for the five most similar model groups to enlight4 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.089549	1
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.216698	2
	map	Kiyan Ahmadizadeh	Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem	1.298048	3
	neos-pseudoapplication-2	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.336934	4
	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	1.365792	5

enlight4: Instance-to-Instance Comparison Results

Parent Instance (enlight4)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

enlight4: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary