Instance - s250r10

s250r10: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Daniel Espinoza
Description:	Wine Scheduling problem with 250 jobs (up to 10 alternatives for processing) 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	neos-1603965 [MIPLIB]	nsa [MIPLIB]	ic97_tension [MIPLIB]	neos-5221106-oparau [MIPLIB]	neos-4954274-beardy [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 / 1.433	2 / 1.439	3 / 1.449	4 / 1.451	5 / 1.452
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	neos-780889 [MIPLIB]	s55 [MIPLIB]	bab6 [MIPLIB]	rococoC11-010100 [MIPLIB]	s82 [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.	66 / 1.578	515 / 1.802	613 / 1.871	715 / 1.957	847 / 2.148
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 s250r10, the five most similar instances to s250r10 according to the MIC, and the five most similar instances to s250r10 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	s250r10 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 250 jobs (up to 10 alternatives for processing) and four processing machines	0.000000	-
MIC Top 5	neos-1603965 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.432847	1
	nsa [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.438775	2
	ic97_tension [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.448905	3
	neos-5221106-oparau [MIPLIB]	Hans Mittelmann	Seem to be VRP output from 2-hour runs of Gurobi on 12 threads is included	1.451311	4
	neos-4954274-beardy [MIPLIB]	Jeff Linderoth	Reported solved after 77000 seconds using Gurobi with 32 threads.	1.451938	5
MIPLIB Top 5	neos-780889 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.578275	66
	s55 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 55 jobs and four processing machines	1.801595	515
	bab6 [MIPLIB]	Elmar Swarat	Vehicle routing with profit and an integrated crew scheduling like bab2 - bab5. Instances differ in multi-commodity-flow formulation (path oder arc formulation) or time discretization and some are quite easy to solve while others (bab2, bab3 and bab6) are very difficult.	1.870717	613
	rococoC11-010100 [MIPLIB]	A. Chabrier, E. Danna, C. Le Pape, L. Perron	Model for dimensioning the arc capacities in a telecommunication network.	1.956886	715
	s82 [MIPLIB]	Daniel Espinoza	Wine Scheduling problem with 82 jobs and four processing machines	2.148069	847

s250r10: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	Spinoza
Assigned Model Group Rank/ISS in the MIC:	129 / 2.567

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-96	scp	allcolor	neos-pseudoapplication-109	lectsched
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 / 1.860	2 / 1.865	3 / 1.875	4 / 1.876	5 / 1.904

Model Group Summary

The table below contains summary information for the five most similar model groups to s250r10 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-96	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.859978	1
	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	1.864839	2
	allcolor	Domenico Salvagnin	Prepack optimization model.	1.875148	3
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.876434	4
	lectsched	Harald Schilly	University lecture scheduling model	1.904086	5

s250r10: Instance-to-Instance Comparison Results

Parent Instance (s250r10)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

s250r10: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary