Instance - cdma

cdma: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Serge Bisaillon
Description:	3G wireless multiplexing communication model
	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	neos-691058 [MIPLIB]	neos-3437289-erdre [MIPLIB]	neos-4409277-trave [MIPLIB]	neos-5223573-tarwin [MIPLIB]	neos6 [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 / 1.465	2 / 1.473	3 / 1.479	4 / 1.483	5 / 1.534
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-4333596-skien [MIPLIB]	lrn [MIPLIB]	maxgasflow [MIPLIB]	bmoipr2 [MIPLIB]	polygonpack3-15* [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.	152 / 2.128	229 / 2.252	657 / 2.581	818 / 2.681	911* / 2.800*
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 cdma, the five most similar instances to cdma according to the MIC, and the five most similar instances to cdma according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	cdma [MIPLIB]	Serge Bisaillon	3G wireless multiplexing communication model	0.000000	-
MIC Top 5	neos-691058 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.464746	1
	neos-3437289-erdre [MIPLIB]	Jeff Linderoth	(None provided)	1.473299	2
	neos-4409277-trave [MIPLIB]	Jeff Linderoth	Reported solved by ParaSCIP in 441575 seconds using 71 solvers (72 cores).	1.479020	3
	neos-5223573-tarwin [MIPLIB]	Hans Mittelmann	check model	1.483233	4
	neos6 [MIPLIB]	NEOS Server Submission	Instance coming from the NEOS Server with unknown application	1.533671	5
MIPLIB Top 5	neos-4333596-skien [MIPLIB]	Jeff Linderoth	(None provided)	2.127652	152
	lrn [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	2.251967	229
	maxgasflow [MIPLIB]	G. Gamrath	Transport momentum maximization in a capacitated gas network, allowing cycles. Solved by Gurobi 5.0 in 2882 seconds (May 2012).	2.580840	657
	bmoipr2 [MIPLIB]	Sean MacDermant	BMO IPR2 Logistics	2.680748	818
	polygonpack3-15* [MIPLIB]	Antonio Frangioni	Given a set P of polygons, not necessarily convex, and a rectangle, we want to find the subset S of P with largest possible total area and a position every p in S so that there are no overlaps and they are all included in the rectangle. We allow a small set of rotations (0, 90, 180, 270 degrees) for every polygon. The problem is simplified w.r.t. the real application because the polygons do not have (fully encircled) "holes", which are supposedly filled-in separately, although they can have "bays". Models are saved as .lp. Instance LpPackingModel_Dim means that we are trying to pack polygons taken from set ; there are currently 5 different sets, and is 7, 10 or 15.	2.800419*	911*

cdma: 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	ran	neos-pseudoapplication-70	fhnw-sq	satellites	neos-pseudoapplication-22
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 / 1.669	2 / 1.717	3 / 1.764	4 / 1.793	5 / 1.836

Model Group Summary

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

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	ran	J. Aronson	Fixed charge transportation problem	1.669464	1
	neos-pseudoapplication-70	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.717226	2
	fhnw-sq	Simon Felix	Combinatorial toy fesability problem: Magic square. Models 1 & 2 are feasible, model 3 is unknown.	1.763820	3
	satellites	He Renjie	Ihe attachment is some models generated from real life satelliteschedule problem data,these models are easier comparable to real lifeproblem. The work is done by me and Alberto Ceselli from Univeristy ofMilano. I donnot know it is hard enough or not, if needs , I can generatemore difficult models.	1.793036	4
	neos-pseudoapplication-22	Jeff Linderoth	(None provided)	1.835964	5

cdma: Instance-to-Instance Comparison Results

Parent Instance (cdma)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

cdma: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary