Instance - s82

s82: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Daniel Espinoza
Description:	Wine Scheduling problem with 82 jobs and four processing machines
	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	s55 [MIPLIB]	f2gap40400 [MIPLIB]	neos-4358725-tagus [MIPLIB]	ns1116954 [MIPLIB]	gen-ip054 [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 / 1.477	2 / 1.503	3 / 1.543	4 / 1.566	5 / 1.577
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	s55 [MIPLIB]	neos-4531126-vouga [MIPLIB]	s100 [MIPLIB]	s250r10 [MIPLIB]	supportcase6 [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.	1 / 1.477	326 / 1.968	447 / 1.996	757 / 2.148	965 / 2.852
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 s82, the five most similar instances to s82 according to the MIC, and the five most similar instances to s82 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	s82 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 82 jobs and four processing machines	0.000000	-
MIC Top 5	s55 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 55 jobs and four processing machines	1.476901	1
	f2gap40400 [MIPLIB]	Salim Haddadi	Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600)	1.503143	2
	neos-4358725-tagus [MIPLIB]	Jeff Linderoth	(None provided)	1.543210	3
	ns1116954 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	1.566009	4
	gen-ip054 [MIPLIB]	Simon Bowly	Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms.	1.577380	5
MIPLIB Top 5	s55 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 55 jobs and four processing machines	1.476901	1
	neos-4531126-vouga [MIPLIB]	Jeff Linderoth	(None provided)	1.967577	326
	s100 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 100 jobs and four processing machines	1.995739	447
	s250r10 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 250 jobs (up to 10 alternatives for processing) and four processing machines	2.148069	757
	supportcase6 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	2.852063	965

s82: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	Spinoza
Assigned Model Group Rank/ISS in the MIC:	25 / 2.288

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	scp	markshare	enlight	neos-pseudoapplication-21	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 / 1.864	2 / 1.892	3 / 1.907	4 / 1.962	5 / 1.996

Model Group Summary

The table below contains summary information for the five most similar model groups to s82 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	1.863664	1
	markshare	G. Cornuéjols, M. Dawande	Market sharing problem	1.892165	2
	enlight	A. Zymolka	Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	1.906677	3
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.962173	4
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.995932	5

s82: Instance-to-Instance Comparison Results

Parent Instance (s82)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

s82: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary