Instance - neos-5102383-irwell


	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	snp-04-052-052 [MIPLIB]	milo-v12-6-r2-40-1 [MIPLIB]	snp-02-004-104 [MIPLIB]	milo-v12-6-r1-75-1 [MIPLIB]	milo-v12-6-r1-58-1 [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 / 0.838	2 / 0.865	3 / 0.890	4 / 0.913	5 / 0.916
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-5093327-huahum [MIPLIB]	neos-5100895-inster [MIPLIB]	neos-5076235-embley [MIPLIB]	neos-5079731-flyers [MIPLIB]	maritime-jg3d9 [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.	44 / 1.034	265 / 1.293	289 / 1.320	307 / 1.338	449 / 1.500
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-5102383-irwell, the five most similar instances to neos-5102383-irwell according to the MIC, and the five most similar instances to neos-5102383-irwell according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	neos-5102383-irwell [MIPLIB]	Jeff Linderoth	(None provided)	0.000000	-
MIC Top 5	snp-04-052-052 [MIPLIB]	Gerald Gamrath	Supply network planning problems.	0.838005	1
	milo-v12-6-r2-40-1 [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.	0.865253	2
	snp-02-004-104 [MIPLIB]	Gerald Gamrath	Supply network planning problems.	0.889728	3
	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.	0.913265	4
	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.	0.915609	5
MIPLIB Top 5	neos-5093327-huahum [MIPLIB]	Jeff Linderoth	(None provided)	1.034345	44
	neos-5100895-inster [MIPLIB]	Jeff Linderoth	(None provided)	1.292636	265
	neos-5076235-embley [MIPLIB]	Jeff Linderoth	(None provided)	1.319671	289
	neos-5079731-flyers [MIPLIB]	Jeff Linderoth	(None provided)	1.338314	307
	maritime-jg3d9 [MIPLIB]	Dimitri Papageorgiou	Maritime Inventory Routing Problems: Jiang-Grossmann Instances. These instances are available at https://mirplib.scl.gatech.edu/instances, along with a host of additional information such as the underlying data used to generate the model, best known upper and lower bounds, and more. They involve a single product maritime inventory routing problem and explore the use of continuous and discrete time models. A continuous-time model based on time slots for single docks is used for some instances. A model based on event points to handle parallel docks is used in others. A discrete time model based on a single commodity fixed-charge network flow problem (FCNF) is used for other instances. All the models are solved for multiple randomly generated instances of different problems to compare their computational efficiency.	1.499583	449

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	noip	neos-pseudoapplication-2	aflow	sp_product	neos-pseudoapplication-7
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 / 1.183	2 / 1.241	3 / 1.250	4 / 1.331	5 / 1.335

Model Group Summary

The table below contains summary information for the five most similar model groups to neos-5102383-irwell according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	noip	Christopher Hojny	integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists	1.182843	1
	neos-pseudoapplication-2	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.241152	2
	aflow	T. Achterberg	Arborescence flow problem on a graph with 40 nodes and edge density 0.9	1.249897	3
	sp_product	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.330546	4
	neos-pseudoapplication-7	Jeff Linderoth	(None provided)	1.335108	5

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

Model Group Assignment from MIPLIB:	neos-pseudoapplication-17
Assigned Model Group Rank/ISS in the MIC:	37 / 1.718

neos-5102383-irwell: Instance-to-Instance Comparison Results

Parent Instance (neos-5102383-irwell)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

neos-5102383-irwell: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary