Instance - newdano


	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	bienst2 [MIPLIB]	bienst1 [MIPLIB]	opt1217 [MIPLIB]	supportcase4 [MIPLIB]	pg [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 / 0.224	2 / 0.232	3 / 0.546	4 / 0.554	5 / 0.594
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	bienst2 [MIPLIB]	bienst1 [MIPLIB]	danoint [MIPLIB]	rout [MIPLIB]	ns1430538 [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 / 0.224	2 / 0.232	56 / 1.004	79 / 1.072	221 / 1.297
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 newdano, the five most similar instances to newdano according to the MIC, and the five most similar instances to newdano according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	newdano [MIPLIB]	Daniel Bienstock	Telecommunications applications	0.000000	-
MIC Top 5	bienst2 [MIPLIB]	H. Mittelmann	Relaxed version of problem bienst	0.223887	1
	bienst1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.231517	2
	opt1217 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.545544	3
	supportcase4 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	0.554213	4
	pg [MIPLIB]	M. Dawande	Multiproduct partial shipment model	0.594378	5
MIPLIB Top 5	bienst2 [MIPLIB]	H. Mittelmann	Relaxed version of problem bienst	0.223887	1
	bienst1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.231517	2
	danoint [MIPLIB]	Daniel Bienstock	Telecommunications applications	1.003696	56
	rout [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.072085	79
	ns1430538 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application.	1.297022	221

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	pizza	mc	neos-pseudoapplication-74	mario	neos-pseudoapplication-97
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 / 1.226	2 / 1.265	3 / 1.339	4 / 1.392	5 / 1.414

Model Group Summary

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

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	pizza	Gleb Belov	These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual model as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps	1.225916	1
	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.264537	2
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.338659	3
	mario	Gleb Belov	These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual model as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps	1.391558	4
	neos-pseudoapplication-97	Jeff Linderoth	(None provided)	1.414471	5

Type:	Instance
Submitter:	Daniel Bienstock
Description:	Telecommunications applications
	MIPLIB Entry

Model Group Assignment from MIPLIB:	dano
Assigned Model Group Rank/ISS in the MIC:	220 / 3.729

newdano: Instance-to-Instance Comparison Results

Parent Instance (newdano)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

newdano: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary