Instance - g200x740


	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	mc8 [MIPLIB]	50v-10 [MIPLIB]	dws012-03 [MIPLIB]	dws008-03 [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 / 0.628	3 / 0.680	4 / 0.684	5 / 0.692
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	p500x2988 [MIPLIB]	r50x360 [MIPLIB]	k16x240b [MIPLIB]	p500x2988c* [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.	15 / 0.776	19 / 0.806	46 / 0.926	20* / 0.806*	1* / 0.486*
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 g200x740, the five most similar instances to g200x740 according to the MIC, and the five most similar instances to g200x740 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	g200x740 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	mc8 [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	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.	0.628150	2
	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.	0.679964	3
	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.	0.684124	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.	0.692486	5
MIPLIB Top 5	p500x2988 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.776168	15
	r50x360 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.805679	19
	k16x240b [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.925628	46
	p500x2988c* [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.806197*	20*
	mc11* [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.485792*	1*

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	mc	neos-pseudoapplication-74	dws	noip	pizza
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 / 0.662	2 / 1.252	3 / 1.305	4 / 1.322	5 / 1.333

Model Group Summary

The table below contains summary information for the five most similar model groups to g200x740 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	0.661700	1
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.252125	2
	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.	1.304958	3
	noip	Christopher Hojny	integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists	1.322347	4
	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	1.332611	5

Type:	Instance
Submitter:	MIPLIB submission pool
Description:	Imported from the MIPLIB2010 submissions.
	MIPLIB Entry

Model Group Assignment from MIPLIB:	fixed-cost-network-flow
Assigned Model Group Rank/ISS in the MIC:	22 / 1.756

g200x740: Instance-to-Instance Comparison Results

Parent Instance (g200x740)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

g200x740: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary