Instance - neos-3761878-oglio


	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	neos-3762025-ognon [MIPLIB]	umts [MIPLIB]	ta1-UUM [MIPLIB]	mitre [MIPLIB]	neos-2746589-doon [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 / 0.354	2 / 0.857	3 / 0.902	4 / 0.952	5 / 0.953
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	neos-3762025-ognon [MIPLIB]	neos-3699377-maori [MIPLIB]	neos-3703351-marne [MIPLIB]	neos-4264598-oueme [MIPLIB]	app3 [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 / 0.354	202 / 1.260	255 / 1.322	615 / 1.743	771 / 2.009
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 neos-3761878-oglio, the five most similar instances to neos-3761878-oglio according to the MIC, and the five most similar instances to neos-3761878-oglio according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	neos-3761878-oglio [MIPLIB]	Jeff Linderoth	(None provided)	0.000000	-
MIC Top 5	neos-3762025-ognon [MIPLIB]	Jeff Linderoth	(None provided)	0.353558	1
	umts [MIPLIB]	C. Polo	Telecommunications network model	0.857312	2
	ta1-UUM [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.901693	3
	mitre [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.951993	4
	neos-2746589-doon [MIPLIB]	Jeff Linderoth	(None provided)	0.952902	5
MIPLIB Top 5	neos-3762025-ognon [MIPLIB]	Jeff Linderoth	(None provided)	0.353558	1
	neos-3699377-maori [MIPLIB]	Jeff Linderoth	(None provided)	1.259960	202
	neos-3703351-marne [MIPLIB]	Jeff Linderoth	(None provided)	1.322287	255
	neos-4264598-oueme [MIPLIB]	Jeff Linderoth	(None provided)	1.742913	615
	app3 [MIPLIB]	Emilie Danna	The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB.	2.009217	771

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	supportvectormachine	noip	mapping	square	neos-pseudoapplication-2
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 / 1.567	2 / 1.646	3 / 1.666	4 / 1.697	5 / 1.706

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-3761878-oglio according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	supportvectormachine	Toni Sorrell	Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization	1.567051	1
	noip	Christopher Hojny	integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists	1.646484	2
	mapping	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	1.666272	3
	square	Sascha Kurz	Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \$n\\times n\$ square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \$n \\le 61\$, while challenging the MIP solver, especially the presolver.)	1.697045	4
	neos-pseudoapplication-2	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.706403	5

Type:	Instance
Submitter:	Jeff Linderoth
Description:	(None provided)
	MIPLIB Entry

Model Group Assignment from MIPLIB:	neos-pseudoapplication-3
Assigned Model Group Rank/ISS in the MIC:	187 / 3.371

neos-3761878-oglio: Instance-to-Instance Comparison Results

Parent Instance (neos-3761878-oglio)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

neos-3761878-oglio: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary