Instance - physiciansched3-3

physiciansched3-3: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Pelin Damci-Kurt
Description:	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.
	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	physiciansched3-4 [MIPLIB]	neos-3402294-bobin [MIPLIB]	icir97_potential [MIPLIB]	comp12-2idx [MIPLIB]	hypothyroid-k1 [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 / 0.810	2 / 1.289	3 / 1.355	4 / 1.397	5 / 1.424
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	physiciansched3-4 [MIPLIB]	physiciansched5-3 [MIPLIB]	neos-555884 [MIPLIB]	neos-5193246-nerang [MIPLIB]	neos-5195221-niemur* [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 / 0.810	60 / 1.768	470 / 1.997	568 / 2.034	568* / 2.034*
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 physiciansched3-3, the five most similar instances to physiciansched3-3 according to the MIC, and the five most similar instances to physiciansched3-3 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	physiciansched3-3 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	0.000000	-
MIC Top 5	physiciansched3-4 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	0.809600	1
	neos-3402294-bobin [MIPLIB]	Jeff Linderoth	(None provided)	1.289348	2
	icir97_potential [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.354632	3
	comp12-2idx [MIPLIB]	Matias Sørensen	Instances comp01-21 of curriculum based course timetabling from the International Timetabling Competition 2007. These are time-assignment models (Stage I of the decomposed model), which are smaller than the full model, but still hard to solve.	1.397204	4
	hypothyroid-k1 [MIPLIB]	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	1.424016	5
MIPLIB Top 5	physiciansched3-4 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	0.809600	1
	physiciansched5-3 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.768234	60
	neos-555884 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.997037	470
	neos-5193246-nerang [MIPLIB]	Jeff Linderoth	(None provided)	2.033896	568
	neos-5195221-niemur* [MIPLIB]	Jeff Linderoth	(None provided)	2.033896*	568*

physiciansched3-3: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	physiciansched
Assigned Model Group Rank/ISS in the MIC:	112 / 2.669

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	hypothyroid	bnatt	scp	neos-pseudoapplication-91	enlight
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 / 1.778	2 / 1.866	3 / 1.961	4 / 2.017	5 / 2.020

Model Group Summary

The table below contains summary information for the five most similar model groups to physiciansched3-3 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	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	1.777802	1
	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.	1.866165	2
	scp	Shunji Umetani	This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark	1.960704	3
	neos-pseudoapplication-91	Jeff Linderoth	(None provided)	2.017357	4
	enlight	A. Zymolka	Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions.	2.019748	5

physiciansched3-3: Instance-to-Instance Comparison Results

Parent Instance (physiciansched3-3)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

physiciansched3-3: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary