Instance - misc04inf


	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	pb-gfrd-pnc [MIPLIB]	mad [MIPLIB]	fhnw-binschedule0 [MIPLIB]	f2gap40400 [MIPLIB]	timtab1CUTS [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 / 1.277	2 / 1.313	3 / 1.356	4 / 1.361	5 / 1.364
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	dsbmip [MIPLIB]	dano3_3 [MIPLIB]	dano3mip [MIPLIB]	dano3_5 [MIPLIB]	set3-10* [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.	12 / 1.385	919 / 2.490	922 / 2.507	923 / 2.512	444* / 1.748*
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 misc04inf, the five most similar instances to misc04inf according to the MIC, and the five most similar instances to misc04inf according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	misc04inf [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	pb-gfrd-pnc [MIPLIB]	Gleb Belov	These are the instances 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 instances can only be handled by solvers accepting indicator constraints. For instances 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 instances with full paths to mzn/dzn files of each instance 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 instance 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	1.276642	1
	mad [MIPLIB]	Koichi Fujii	Mean-Absolute Deviation Model for Car Dealerships	1.313362	2
	fhnw-binschedule0 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	1.355877	3
	f2gap40400 [MIPLIB]	Salim Haddadi	Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600)	1.360740	4
	timtab1CUTS [MIPLIB]	C. Liebchen, R. Möhring	Public transport scheduling problem	1.364314	5
MIPLIB Top 5	dsbmip [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.384699	12
	dano3_3 [MIPLIB]	Daniel Bienstock	Telecommunications applications	2.489603	919
	dano3mip [MIPLIB]	Daniel Bienstock	Telecommunications applications	2.506738	922
	dano3_5 [MIPLIB]	Daniel Bienstock	Telecommunications applications	2.512106	923
	set3-10* [MIPLIB]	Kerem Akartunali	Multi-item lot-sizing with backlogging. Solved by SCIP 3.1.1 parallelized by UG 0.7.5 linked to CPLEX 12.6 as an LP solver on HLRN III (https://www.hlrn.de/home/view/System3/CrayHardware). Due to time limit restrictions, five repeated runs, each starting from the checkpointing file of the previous run, were done. Each run had a time limit of 12 hours while using 6144 (runs 1, 3, and 4) or 3072 cores (run 2 and 5).	1.747904*	444*

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	scp	stein	neos-pseudoapplication-21	neos-pseudoapplication-109	timtab
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 / 1.784	2 / 1.899	3 / 1.909	4 / 1.950	5 / 1.961

Model Group Summary

The table below contains summary information for the five most similar model groups to misc04inf according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	scp	Shunji Umetani	This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark	1.783748	1
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.898597	2
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.908534	3
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.950140	4
	timtab	C. Liebchen, R. Möhring	Public transport scheduling problem	1.960653	5

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

Model Group Assignment from MIPLIB:	misc
Assigned Model Group Rank/ISS in the MIC:	146 / 2.819

misc04inf: Instance-to-Instance Comparison Results

Parent Instance (misc04inf)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

misc04inf: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary