Instance - supportcase3

supportcase3: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Michael Winkler
Description:	MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores).
	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	supportcase4 [MIPLIB]	opt1217 [MIPLIB]	neos-911970 [MIPLIB]	pb-grow22 [MIPLIB]	bienst2 [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 / 0.573	2 / 0.602	3 / 0.611	4 / 0.698	5 / 0.705
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	supportcase4 [MIPLIB]	bnatt400 [MIPLIB]	bnatt500 [MIPLIB]	cryptanalysiskb128n5obj14 [MIPLIB]	cryptanalysiskb128n5obj16 [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 / 0.573	172 / 1.272	176 / 1.275	762 / 1.816	768 / 1.824
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 supportcase3, the five most similar instances to supportcase3 according to the MIC, and the five most similar instances to supportcase3 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	supportcase3 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores).	0.000000	-
MIC Top 5	supportcase4 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	0.572526	1
	opt1217 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.602266	2
	neos-911970 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.610618	3
	pb-grow22 [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	0.697603	4
	bienst2 [MIPLIB]	H. Mittelmann	Relaxed version of problem bienst	0.704694	5
MIPLIB Top 5	supportcase4 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application	0.572526	1
	bnatt400 [MIPLIB]	Tatsuya Akutsu	Model to identify a singleton attractor in a Boolean network, applications in computational systems biology. Solved by SCIP 3.0 with SoPlex 1.7.0 in half an hour. A Intel Core2 Extreme CPU X9659 @3.00GHz was used.	1.272193	172
	bnatt500 [MIPLIB]	Tatsuya Akutsu	We are submitting ILP data for identification of a singletonattractor in a Boolean newtork, which is a well-known problemin computational systems biology.This problem is known to be NP-hard and we developed a methodto transform an instance of the problem to an integer linearprogram (ILP).We used ILPs from artificially generated Boolean networks ofindegree 3.The size of the networks are: 350, 400, 500.Even for the case of 500, we could not find a solution within6 hours using CPLEX 11.2 on a PC with XEON 5470 3.33GHz CPU.(This ILP corresponds to the case of size=350.File format is (zipped) CPLEX LP format.)The details of the method appeared in:T. Akutsu, M. Hayashida and T. Tamura, Integer programming-basedmethods for attractor detection and control of Boolean networks,Proc. The combined 48th IEEE Conference on Decision and Controland 28th Chinese Control Conference (IEEE CDC/CCC 2009), 5610-5617, 2009.	1.275384	176
	cryptanalysiskb128n5obj14 [MIPLIB]	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	1.816322	762
	cryptanalysiskb128n5obj16 [MIPLIB]	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	1.824360	768

supportcase3: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	no model group assignment
Assigned Model Group Rank/ISS in the MIC:	N.A. / N.A.

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-24	neos-pseudoapplication-1	neos-pseudoapplication-85	neos-pseudoapplication-104	neos-pseudoapplication-40
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 / 1.259	2 / 1.342	3 / 1.365	4 / 1.366	5 / 1.450

Model Group Summary

The table below contains summary information for the five most similar model groups to supportcase3 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-24	Jeff Linderoth	(None provided)	1.259297	1
	neos-pseudoapplication-1	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.341580	2
	neos-pseudoapplication-85	Jeff Linderoth	(None provided)	1.365084	3
	neos-pseudoapplication-104	Jeff Linderoth	(None provided)	1.366018	4
	neos-pseudoapplication-40	Jeff Linderoth	(None provided)	1.450250	5

supportcase3: Instance-to-Instance Comparison Results

Parent Instance (supportcase3)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

supportcase3: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary