Instance - tr12-30

tr12-30: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	MIPLIB submission pool
Description:	Imported from the MIPLIB2010 submissions.
	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	ran12x21 [MIPLIB]	supportcase29 [MIPLIB]	germany50-UUM [MIPLIB]	graph20-80-1rand [MIPLIB]	aflow40b [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 / 0.413	2 / 0.453	3 / 0.463	4 / 0.471	5 / 0.474
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	exp-1-500-5-5 [MIPLIB]	neos-3754480-nidda [MIPLIB]	bg512142 [MIPLIB]	dg012142 [MIPLIB]	set3-09* [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.	164 / 0.836	373 / 1.302	391 / 1.326	726 / 1.825	262* / 1.082*
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 tr12-30, the five most similar instances to tr12-30 according to the MIC, and the five most similar instances to tr12-30 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	tr12-30 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.000000	-
MIC Top 5	ran12x21 [MIPLIB]	J. Aronson	Fixed charge transportation problem	0.413237	1
	supportcase29 [MIPLIB]	Domenico Salvagnin	Instance coming from IBM developerWorks forum with unknown application.	0.452617	2
	germany50-UUM [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.462920	3
	graph20-80-1rand [MIPLIB]	Michael Bastubbe	Packing Cuts in Undirected Graphs. Instances are described in 4.1.	0.470833	4
	aflow40b [MIPLIB]	T. Achterberg	Arborescence flow problem on a graph with 40 nodes and edge density 0.9	0.474375	5
MIPLIB Top 5	exp-1-500-5-5 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.836155	164
	neos-3754480-nidda [MIPLIB]	Jeff Linderoth	(None provided)	1.301917	373
	bg512142 [MIPLIB]	A. Miller	Multilevel lot-sizing instance.	1.326106	391
	dg012142 [MIPLIB]	A. Miller	Multilevel lot-sizing instance This instance was solved by using 256 cores of the distributed-memory supercomputer Fujitsu PRIMERGY RX200S5 (http://www.ism.ac.jp/computer_system/eng/sc/super.html). The problem was solved by ParaSCIP in approximately 43 hours.	1.825141	726
	set3-09* [MIPLIB]	Kerem Akartunali	This is joint work with Andrew J. Miller, Universite de Bordeaux 1; RealOpt, INRIA Bordeaux Sud-Ouest, France. Andrew.Miller@math.u-bordeaux1.fr. These are five hard instances chosen from our library MULTILSB (Multi-item Lot-Sizing with Backlogging), which is fully available at (incl. documentation and mosel file):http://personal.strath.ac.uk/kerem.akartunali/research/multi-lsb/ For these 5 instances, gaps remain in the range of >50% after 30 min. (using latest version of FICO on a laptop with i7 processor and 4GB RAM): (first two columns indicate the 30 min-runs, and the last column indicates the best solutions we know at the moment). Computational results for these instances as well as for others of MULTILSB can be found on the website.	1.082008*	262*

tr12-30: Instance-to-Model Comparison Results

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

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	sp_product	neos-pseudoapplication-2	seqsolve	ab	noip
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 / 0.712	2 / 0.715	3 / 0.814	4 / 0.875	5 / 0.876

Model Group Summary

The table below contains summary information for the five most similar model groups to tr12-30 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	sp_product	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.712031	1
	neos-pseudoapplication-2	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	0.715205	2
	seqsolve	Irv Lustig	The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file.	0.813679	3
	ab	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.875252	4
	noip	Christopher Hojny	integer programming formulation that verifies that no integer programming formulation of a given 0/1-point set exists	0.876224	5

tr12-30: Instance-to-Instance Comparison Results

Parent Instance (tr12-30)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

tr12-30: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary