Instance - dale-cta

dale-cta: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Jordi Castro
Description:	Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data.
	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	app2-2 [MIPLIB]	app2-1 [MIPLIB]	h80x6320 [MIPLIB]	drayage-100-23 [MIPLIB]	square47 [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 / 0.327	2 / 0.364	3 / 0.715	4 / 0.764	5 / 0.805
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	tr12-30 [MIPLIB]	mc8 [MIPLIB]	bg512142 [MIPLIB]	dg012142 [MIPLIB]	mc11* [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.	141 / 1.174	173 / 1.214	620 / 1.678	669 / 1.767	173* / 1.214*
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 dale-cta, the five most similar instances to dale-cta according to the MIC, and the five most similar instances to dale-cta according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	dale-cta [MIPLIB]	Jordi Castro	Set of MILP instances of the CTA (Controlled Tabular Adjustment) problem, a method to protect statistical tabular data, belonging to the field of SDC (Statistical Disclosure Control). Raw data of instances are real or pseudo-real, provided by several National Statistical Agencies. We generated the CTA problem for these data.	0.000000	-
MIC Top 5	app2-2 [MIPLIB]	Emilie Danna	The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB.	0.326957	1
	app2-1 [MIPLIB]	Emilie Danna	The archive contains 5 instances coming from 3 applications.app1 is interesting because the continuous variables (w) drive the model.Some solvers have numerical problems on app2 models: some solutions found violate the constraints by a small amount.app2 and app3 models are easy to solve. But they don't solve fast enough for the time limit I have in mind so I'd like to propose them for inclusion in MIPLIB.	0.364035	2
	h80x6320 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	0.714626	3
	drayage-100-23 [MIPLIB]	F. Jordan Srour	The .rar file contains three folders: 1) R_mps with all of the instances (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the instances in the form of a pdf.	0.764464	4
	square47 [MIPLIB]	Sascha Kurz	Squaring the square For a given integer n, determine the minimum number of squares in a tiling of an \\(n\\times n\\) square using using only integer sided squares of smaller size. (Although the models get quite large even for moderate n, they can be solved to optimality for all \\(n \\le 61\\), while challenging the MIP solver, especially the presolver.)	0.805445	5
MIPLIB Top 5	tr12-30 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.173570	141
	mc8 [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.213982	173
	bg512142 [MIPLIB]	A. Miller	Multilevel lot-sizing instance.	1.677550	620
	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.	1.767466	669
	mc11* [MIPLIB]	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.213982*	173*

dale-cta: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	cta
Assigned Model Group Rank/ISS in the MIC:	167 / 3.379

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	drayage	neos-pseudoapplication-89	neos-pseudoapplication-74	seqsolve	neos-pseudoapplication-109
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 / 1.027	2 / 1.366	3 / 1.426	4 / 1.431	5 / 1.438

Model Group Summary

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

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	drayage	F. Jordan Srour	The .rar file contains three folders: 1) R_mps with all of the models (165, organized into 5 groups R0_, R25_, R50_, R75_, and R100_*), 2) results_and_runtimes with datafiles on the runtime and results, and 3) doc with documentation on the models in the form of a pdf.	1.026936	1
	neos-pseudoapplication-89	NEOS Server Submission	Model coming from the NEOS Server with unknown application	1.366075	2
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.426357	3
	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.	1.430852	4
	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.437918	5

dale-cta: Instance-to-Instance Comparison Results

Parent Instance (dale-cta)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

dale-cta: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary