Instance - germany50-UUM

germany50-UUM: 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	aflow40b [MIPLIB]	neos-1582420 [MIPLIB]	berlin [MIPLIB]	neos-3426085-ticino [MIPLIB]	supportcase29 [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 / 0.301	2 / 0.360	3 / 0.361	4 / 0.368	5 / 0.387
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-3660371-kurow [MIPLIB]	neos-1420790 [MIPLIB]	neos-3665875-lesum [MIPLIB]	neos-1420546 [MIPLIB]	zeil [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.	168 / 0.868	201 / 0.996	236 / 1.065	295 / 1.186	414 / 1.395
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 germany50-UUM, the five most similar instances to germany50-UUM according to the MIC, and the five most similar instances to germany50-UUM according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	germany50-UUM [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	aflow40b [MIPLIB]	T. Achterberg	Arborescence flow problem on a graph with 40 nodes and edge density 0.9	0.301128	1
	neos-1582420 [MIPLIB]	NEOS Server Submission	Collection of anonymous submissions to the NEOS Server for Optimization	0.359698	2
	berlin [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.361160	3
	neos-3426085-ticino [MIPLIB]	Jeff Linderoth	(None provided)	0.368238	4
	supportcase29 [MIPLIB]	Domenico Salvagnin	Instance coming from IBM developerWorks forum with unknown application.	0.387133	5
MIPLIB Top 5	neos-3660371-kurow [MIPLIB]	Jeff Linderoth	(None provided)	0.868106	168
	neos-1420790 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.995854	201
	neos-3665875-lesum [MIPLIB]	Jeff Linderoth	(None provided)	1.065030	236
	neos-1420546 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.186324	295
	zeil [MIPLIB]	Andreas Bärmann	A model that computes an optimal adaptation of a given timetable draft for a small portion of the German railway network. The aim is to shift the planned departure times of the trains slightly, such that the maximum power consumption (averaed over 15-minute intervalls of the planning horizon) is as small as possible.	1.394821	414

germany50-UUM: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	network_design
Assigned Model Group Rank/ISS in the MIC:	167 / 3.110

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	n37	radiation	nus-prxy	aflow	sp_product
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 / 0.644	2 / 0.646	3 / 0.712	4 / 0.716	5 / 0.726

Model Group Summary

The table below contains summary information for the five most similar model groups to germany50-UUM according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	n37	J. Aronson	Fixed charge transportation problem	0.644341	1
	radiation	Gleb Belov	Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38	0.645765	2
	nus-prxy	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.712357	3
	aflow	T. Achterberg	Arborescence flow problem on a graph with 40 nodes and edge density 0.9	0.715610	4
	sp_product	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.726278	5

germany50-UUM: Instance-to-Instance Comparison Results

Parent Instance (germany50-UUM)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

germany50-UUM: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary