Instance - neos-4360552-sangro

neos-4360552-sangro: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Hans Mittelmann
Description:	Collection of anonymous submissions to the NEOS Server for Optimization
	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	tpl-tub-ws1617 [MIPLIB]	tpl-tub-ss16 [MIPLIB]	iis-hc-cov [MIPLIB]	momentum2 [MIPLIB]	ns1116954 [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 / 1.587	2 / 1.613	3 / 1.739	4 / 1.763	5 / 1.770
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-5178119-nalagi [MIPLIB]	supportcase3 [MIPLIB]	s1234 [MIPLIB]	bnatt400 [MIPLIB]	bnatt500 [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.	250 / 2.405	407 / 2.543	431 / 2.555	671 / 2.682	700 / 2.701
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-4360552-sangro, the five most similar instances to neos-4360552-sangro according to the MIC, and the five most similar instances to neos-4360552-sangro according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	neos-4360552-sangro [MIPLIB]	Hans Mittelmann	Collection of anonymous submissions to the NEOS Server for Optimization	0.000000	-
MIC Top 5	tpl-tub-ws1617 [MIPLIB]	János Höner	Model for the Post-Enrollment Course Timetabling Problem at TU Berlin from the summer term 2016 and the winter term 2016/2017	1.586519	1
	tpl-tub-ss16 [MIPLIB]	János Höner	Model for the Post-Enrollment Course Timetabling Problem at TU Berlin from the summer term 2016 and the winter term 2016/2017	1.613117	2
	iis-hc-cov [MIPLIB]	Marc Pfetsch	23 "middlehard" Set-Covering Instances for MIPLIB: they have a small number of variables compared to the number of constraints and CPLEX 12.1 needs about one hour to solve them.For more information, have a look into the readme file which explains how the instances can be created.	1.738795	3
	momentum2 [MIPLIB]	T. Koch	Snapshot based UMTS planning problem, having a very wide dynamic range in the matrix coefficients and tending to be numerically unstable	1.762576	4
	ns1116954 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	1.770487	5
MIPLIB Top 5	neos-5178119-nalagi [MIPLIB]	Jeff Linderoth	(None provided)	2.405184	250
	supportcase3 [MIPLIB]	Michael Winkler	MIP instances collected from Gurobi forum with unknown application Solved with ParaSCIP in 1551 seconds with 71 solvers(72 cores).	2.543426	407
	s1234 [MIPLIB]	Siwei Sun	These models come from my cryptographic research and are used to search for the best differential characteristics of the round-reduced versions of the block cipher Serpent with the mixed-integer programming technique. For all the models, including S1234.lp, S56701.lp, S456701.lp, I have found a feasible solution in the corresponding mst file. The challenge is that can we find better solutions or can we find the best solutions.	2.554822	431
	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.	2.682290	671
	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.	2.700929	700

neos-4360552-sangro: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	neos-pseudoapplication-62
Assigned Model Group Rank/ISS in the MIC:	10 / 2.160

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	independentset	neos-pseudoapplication-21	generated	neos-pseudoapplication-101	stein
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 / 1.858	2 / 1.869	3 / 1.871	4 / 1.884	5 / 1.969

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-4360552-sangro according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	independentset	Toni Sorrell	These models are based on Neil Sloane's Challenge problems: Independent Sets in Graphs.	1.858192	1
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.868714	2
	generated	Simon Bowly	Randomly generated integer and binary programming models. These results are part of an early phase of work aimed at generating diverse and challenging MIP models for experimental testing. We have aimed to produce small integer and binary programming models which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms.	1.871378	3
	neos-pseudoapplication-101	NEOS Server Submission	Model coming from the NEOS Server with unknown application. Infeasibility claimed by CPLEX 12.6 and CPLEX 12.6.1 with extreme numerical caution emphasi after 4 and 2 hours computation, respectively.	1.884108	4
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.969040	5

neos-4360552-sangro: Instance-to-Instance Comparison Results

Parent Instance (neos-4360552-sangro)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

neos-4360552-sangro: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary