Instance - neos-5178119-nalagi


	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	f2gap40400 [MIPLIB]	gen-ip054 [MIPLIB]	timtab1 [MIPLIB]	qnet1_o [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 / 1.310	2 / 1.333	3 / 1.339	4 / 1.348	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	bnatt400 [MIPLIB]	neos-5182409-nasivi [MIPLIB]	bnatt500 [MIPLIB]	neos-4360552-sangro [MIPLIB]	bnatt400** [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.	511 / 1.688	520 / 1.693	547 / 1.706	912 / 2.405	N.A. / N.A.
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-5178119-nalagi, the five most similar instances to neos-5178119-nalagi according to the MIC, and the five most similar instances to neos-5178119-nalagi according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	neos-5178119-nalagi [MIPLIB]	Jeff Linderoth	(None provided)	0.000000	-
MIC Top 5	f2gap40400 [MIPLIB]	Salim Haddadi	Restrictions of well-known hard generalized assignment problem instances (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600)	1.310258	1
	gen-ip054 [MIPLIB]	Simon Bowly	Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms.	1.332810	2
	timtab1 [MIPLIB]	C. Liebchen, R. Möhring	Public transport scheduling problem	1.339265	3
	qnet1_o [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.347798	4
	timtab1CUTS [MIPLIB]	C. Liebchen, R. Möhring	Public transport scheduling problem	1.364098	5
MIPLIB Top 5	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.	1.687981	511
	neos-5182409-nasivi [MIPLIB]	Jeff Linderoth	(None provided)	1.693156	520
	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.	1.706379	547
	neos-4360552-sangro [MIPLIB]	Hans Mittelmann	Collection of anonymous submissions to the NEOS Server for Optimization	2.405184	912
	bnatt400** [MIPLIB]	A. Bley	Min-cost network dimensioning problem with finite sets of link capacities and unsplittable flow routing	N.A.**	N.A.**

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	timtab	scp	neos-pseudoapplication-40	neos-pseudoapplication-21	neos-pseudoapplication-50
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 / 1.842	2 / 1.846	3 / 1.858	4 / 1.929	5 / 1.941

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-5178119-nalagi according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	timtab	C. Liebchen, R. Möhring	Public transport scheduling problem	1.841670	1
	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	1.845596	2
	neos-pseudoapplication-40	Jeff Linderoth	(None provided)	1.858379	3
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.928628	4
	neos-pseudoapplication-50	NEOS Server Submission	Model coming from the NEOS Server with unknown application	1.941205	5

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

Model Group Assignment from MIPLIB:	neos-pseudoapplication-62
Assigned Model Group Rank/ISS in the MIC:	149 / 2.687

neos-5178119-nalagi: Instance-to-Instance Comparison Results

Parent Instance (neos-5178119-nalagi)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

neos-5178119-nalagi: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary