Instance - prod2


	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	prod1 [MIPLIB]	opt1217 [MIPLIB]	milo-v12-6-r1-58-1 [MIPLIB]	loopha13 [MIPLIB]	milo-v12-6-r1-75-1 [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 / 0.754	2 / 0.895	3 / 0.900	4 / 0.902	5 / 0.908
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	prod1 [MIPLIB]	mad [MIPLIB]	roi2alpha3n4 [MIPLIB]	ns1208400 [MIPLIB]	neos-1171448 [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 / 0.754	222 / 1.194	469 / 1.408	724 / 1.712	960 / 3.012
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 prod2, the five most similar instances to prod2 according to the MIC, and the five most similar instances to prod2 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	prod2 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	prod1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.754176	1
	opt1217 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.894760	2
	milo-v12-6-r1-58-1 [MIPLIB]	Tamas Terlaky	The models come from structural design optimization where the objective is to minimize the total weight of 2 and 3 dimensional cantilevers. The 2D examples are simpler, and GuRobi can solve the 40_1 and 58_1 instances, while struggles with 75_1. The 3D examples are more challenging. The x_0 and x_1 models are two different modeling of the same identical problems, so their optimal value is the same. The 1_x and 2_x problems are solved by GuRoBi, the 3_x and 4_x are not solved in reasonable time.	0.899770	3
	loopha13 [MIPLIB]	Hamideh	This is a Gams model which uses CPLEX as a solver.	0.902448	4
	milo-v12-6-r1-75-1 [MIPLIB]	Tamas Terlaky	The models come from structural design optimization where the objective is to minimize the total weight of 2 and 3 dimensional cantilevers. The 2D examples are simpler, and GuRobi can solve the 40_1 and 58_1 instances, while struggles with 75_1. The 3D examples are more challenging. The x_0 and x_1 models are two different modeling of the same identical problems, so their optimal value is the same. The 1_x and 2_x problems are solved by GuRoBi, the 3_x and 4_x are not solved in reasonable time.	0.907900	5
MIPLIB Top 5	prod1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.754176	1
	mad [MIPLIB]	Koichi Fujii	Mean-Absolute Deviation Model for Car Dealerships	1.194124	222
	roi2alpha3n4 [MIPLIB]	Domenico Salvagnin	Neurobiology application: optimal placing of sensors on the scalp to maximize signal on a given ROI, also taking uniformity of coverage into account.	1.407877	469
	ns1208400 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	1.712189	724
	neos-1171448 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	3.012023	960

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	bnatt	neos-pseudoapplication-40	neos-pseudoapplication-74	hypothyroid	neos-pseudoapplication-63
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 / 1.659	2 / 1.684	3 / 1.695	4 / 1.741	5 / 1.760

Model Group Summary

The table below contains summary information for the five most similar model groups to prod2 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	bnatt	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 model 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.	1.658678	1
	neos-pseudoapplication-40	Jeff Linderoth	(None provided)	1.684492	2
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.694789	3
	hypothyroid	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	1.741389	4
	neos-pseudoapplication-63	Jeff Linderoth	(None provided)	1.759581	5

Type:	Instance
Submitter:	MIPLIB submission pool
Description:	Imported from the MIPLIB2010 submissions.
	MIPLIB Entry

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

prod2: Instance-to-Instance Comparison Results

Parent Instance (prod2)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

prod2: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary