Instance - mc8


	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	g200x740 [MIPLIB]	50v-10 [MIPLIB]	dws008-03 [MIPLIB]	dws012-03 [MIPLIB]	dws012-02 [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 / 0.486	2 / 0.597	3 / 0.632	4 / 0.634	5 / 0.644
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	p500x2988d [MIPLIB]	beasleyC3 [MIPLIB]	brasil [MIPLIB]	mc7* [MIPLIB]	mc11* [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.	21 / 0.808	75 / 0.991	117 / 1.069	0* / 0.000*	0* / 0.000*
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 mc8, the five most similar instances to mc8 according to the MIC, and the five most similar instances to mc8 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	mc8 [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.000000	-
MIC Top 5	g200x740 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.485792	1
	50v-10 [MIPLIB]	Serge Bisaillon	Network loading instance. Solved using ug[SCIP/spx], a distributed massively parallel version of SCIP run on 2,000 cores at the HLRN-II super computer facility.	0.597194	2
	dws008-03 [MIPLIB]	Philipp Leise	MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The instances vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions.	0.631671	3
	dws012-03 [MIPLIB]	Philipp Leise	MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The instances vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions.	0.634494	4
	dws012-02 [MIPLIB]	Philipp Leise	MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The instances vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions.	0.644333	5
MIPLIB Top 5	p500x2988d [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.808462	21
	beasleyC3 [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.990666	75
	brasil [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.069049	117
	mc7* [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.000000*	0*
	mc11* [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.000000*	0*

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	mc	pizza	neos-pseudoapplication-74	dws	noip
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 / 0.000	2 / 1.215	3 / 1.273	4 / 1.334	5 / 1.368

Model Group Summary

The table below contains summary information for the five most similar model groups to mc8 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.000000	1
	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	1.215328	2
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.272911	3
	dws	Philipp Leise	MILP for designing a decentralized water supply system for drinking water in skyscrapers. The nonlinear characteristics of pumps are integrated with the help of an aggregated convex combination. The models vary in the total number of floors and load scenarios for water demand. First stage variables represent the layout decisions, second stage variables represent the operational parameters, such as the continuous rotating speed of pumps or binary switching decisions.	1.333518	4
	noip	Christopher Hojny	integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists	1.367598	5

Type:	Instance
Submitter:	F. Ortega, L. Wolsey
Description:	Fixed cost network flow problems
	MIPLIB Entry

mc8: Instance-to-Instance Comparison Results

Parent Instance (mc8)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

mc8: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary

Model Group Assignment from MIPLIB:	mc
Assigned Model Group Rank/ISS in the MIC:	1 / 0.0