Instance - nu4-pr9

nu4-pr9: 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	ns4-pr6 [MIPLIB]	nu120-pr12 [MIPLIB]	gus-sch [MIPLIB]	n7-3 [MIPLIB]	germany50-UUM [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 / 0.326	2 / 0.347	3 / 0.353	4 / 0.388	5 / 0.405
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	nu120-pr12 [MIPLIB]	neos-827175 [MIPLIB]	tbfp-network [MIPLIB]	nu120-pr9* [MIPLIB]	nu25-pr12* [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.	2 / 0.347	13 / 0.471	249 / 1.196	0* / 0.000*	2* / 0.347*
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 nu4-pr9, the five most similar instances to nu4-pr9 according to the MIC, and the five most similar instances to nu4-pr9 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	nu4-pr9 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	ns4-pr6 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.325965	1
	nu120-pr12 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.347285	2
	gus-sch [MIPLIB]	Alexandra M. Newman	course scheduling model	0.353225	3
	n7-3 [MIPLIB]	A. Atamtürk	Capacitated network design problem	0.388127	4
	germany50-UUM [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.405001	5
MIPLIB Top 5	nu120-pr12 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.347285	2
	neos-827175 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.471166	13
	tbfp-network [MIPLIB]	Rob Pratt	Two formulations (big-M and network-based) for traveling baseball fan problem. Uses data from 2014 Major League Baseball regular season. Paper uses 2014 data: http://support.sas.com/resources/papers/proceedings14/SAS101-2014.pdf Blog post uses 2015 data: http://blogs.sas.com/content/operations/2015/04/03/the-traveling-baseball-fan-problem/	1.196344	249
	nu120-pr9* [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000*	0*
	nu25-pr12* [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.347285*	2*

nu4-pr9: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	nus-prxy
Assigned Model Group Rank/ISS in the MIC:	1 / 0.377

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	nus-prxy	radiation	aflow	n37	seqsolve
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 / 0.378	2 / 0.711	3 / 0.728	4 / 0.769	5 / 0.795

Model Group Summary

The table below contains summary information for the five most similar model groups to nu4-pr9 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	nus-prxy	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.377681	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	0.711419	2
	aflow	T. Achterberg	Arborescence flow problem on a graph with 40 nodes and edge density 0.9	0.728283	3
	n37	J. Aronson	Fixed charge transportation problem	0.769265	4
	seqsolve	Irv Lustig	The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file.	0.795099	5

nu4-pr9: Instance-to-Instance Comparison Results

Parent Instance (nu4-pr9)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

nu4-pr9: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary