Instance - tanglegram6

tanglegram6: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Falk Hueffner
Description:	The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0).
	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	probportfolio [MIPLIB]	tanglegram4 [MIPLIB]	fhnw-schedule-paira100 [MIPLIB]	fhnw-schedule-paira400 [MIPLIB]	fhnw-schedule-paira200 [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 / 0.390	2 / 0.447	3 / 0.518	4 / 0.520	5 / 0.532
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	tanglegram4 [MIPLIB]	vpphard2 [MIPLIB]	vpphard [MIPLIB]	toll-like [MIPLIB]	30_70_45_095_100 [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.	2 / 0.447	59 / 0.894	310 / 1.312	343 / 1.349	661 / 1.760
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 tanglegram6, the five most similar instances to tanglegram6 according to the MIC, and the five most similar instances to tanglegram6 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	tanglegram6 [MIPLIB]	Falk Hueffner	The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0).	0.000000	-
MIC Top 5	probportfolio [MIPLIB]	Feng Qiu	Sample average approximation formulation of a probabilistic portfolio optimization problem. Solved using ug[SCIP/spx], a distributed massively parallel version of SCIP run on 2,000 cores at the HLRN-II super computer facility.	0.389600	1
	tanglegram4 [MIPLIB]	Falk Hueffner	The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0).	0.447040	2
	fhnw-schedule-paira100 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	0.518117	3
	fhnw-schedule-paira400 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	0.520165	4
	fhnw-schedule-paira200 [MIPLIB]	Simon Felix	Continuous-time project scheduling and selection, inspired by an industry use-case. Each project has a value, the sum should be maximized. Each project has a deadline, and an earliest start date. Three formulations of the same problem ("Pair A", "Pair B" and "Slot") - we expect "Pair B" to be the best formulation.	0.531988	5
MIPLIB Top 5	tanglegram4 [MIPLIB]	Falk Hueffner	The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0).	0.447040	2
	vpphard2 [MIPLIB]	C. Cardonha	Vehicle positioning problem instance. Solved using CPLEX 12.4 in 43987 seconds (May 2012). Solved using Gurobi 5.6.2 in 124 seconds (May 2014).Solved using CPLEX 12.6 in 225 seconds (May 2014).	0.893533	59
	vpphard [MIPLIB]	C. Cardonha	Vehicle positioning problem instance	1.312366	310
	toll-like [MIPLIB]	Falk Hueffner	The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world instances from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0). Solved by Gurobi 4.6 (8 threads) in about four days after a variable transformation reducing symmetry.	1.349456	343
	30_70_45_095_100 [MIPLIB]	J. Walser	Geographic radar station allocation	1.760329	661

tanglegram6: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	huefner
Assigned Model Group Rank/ISS in the MIC:	22 / 1.531

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	map	rmatr	polygonpack	sp_product	neos-pseudoapplication-109
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 / 0.799	2 / 0.913	3 / 0.957	4 / 0.977	5 / 1.001

Model Group Summary

The table below contains summary information for the five most similar model groups to tanglegram6 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	map	Kiyan Ahmadizadeh	Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem	0.798688	1
	rmatr	Dmitry Krushinsky	Model coming from a formulation of the p-Median problem using square cost matrices	0.913143	2
	polygonpack	Antonio Frangioni	Given a set P of polygons, not necessarily convex, and a rectangle, we want to find the subset S of P with largest possible total area and a position every p in S so that there are no overlaps and they are all included in the rectangle. We allow a small set of rotations (0, 90, 180, 270 degrees) for every polygon. The problem is simplified w.r.t. the real application because the polygons do not have (fully encircled) "holes", which are supposedly filled-in separately, although they can have "bays". Models are saved as .lp. Model LpPackingModel_Dim means that we are trying to pack polygons taken from set ; there are currently 5 different sets, and is 7, 10 or 15.	0.957479	3
	sp_product	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.977167	4
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.001148	5

tanglegram6: Instance-to-Instance Comparison Results

Parent Instance (tanglegram6)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

tanglegram6: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary