Instance - physiciansched6-1


	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	physiciansched6-2 [MIPLIB]	icir97_potential [MIPLIB]	comp12-2idx [MIPLIB]	physiciansched3-4 [MIPLIB]	gen-ip016 [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 / 1.268	2 / 1.316	3 / 1.372	4 / 1.374	5 / 1.399
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	physiciansched6-2 [MIPLIB]	diameterc-mstc-v20a190d5i [MIPLIB]	neos-4391920-timok [MIPLIB]	neos-4359986-taipa [MIPLIB]	piperout-27 [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 / 1.268	71 / 1.655	152 / 1.735	206 / 1.765	854 / 2.184
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 physiciansched6-1, the five most similar instances to physiciansched6-1 according to the MIC, and the five most similar instances to physiciansched6-1 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	physiciansched6-1 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	0.000000	-
MIC Top 5	physiciansched6-2 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.268196	1
	icir97_potential [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.316089	2
	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.	1.372141	3
	physiciansched3-4 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.374293	4
	gen-ip016 [MIPLIB]	Simon Bowly	Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. Solved with XPRESS in a few seconds.	1.398866	5
MIPLIB Top 5	physiciansched6-2 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.268196	1
	diameterc-mstc-v20a190d5i [MIPLIB]	Gleb Belov	These are the instances from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these instances can only be handled by solvers accepting indicator constraints. For instances compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the instances with full paths to mzn/dzn files of each instance per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual instance as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps	1.655093	71
	neos-4391920-timok [MIPLIB]	Jeff Linderoth	(None provided)	1.735051	152
	neos-4359986-taipa [MIPLIB]	Jeff Linderoth	(None provided)	1.764827	206
	piperout-27 [MIPLIB]	Gleb Belov	Pipe routing with flexibility constraints. Instances with _GCM in the name are simple routing	2.183643	854

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	scp	neos-pseudoapplication-21	hypothyroid	stein	markshare
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 / 1.663	2 / 1.765	3 / 1.841	4 / 1.860	5 / 1.920

Model Group Summary

The table below contains summary information for the five most similar model groups to physiciansched6-1 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	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	1.663125	1
	neos-pseudoapplication-21	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	1.765285	2
	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	1.840903	3
	stein	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.859569	4
	markshare	G. Cornuéjols, M. Dawande	Market sharing problem	1.919814	5

Type:	Instance
Submitter:	Pelin Damci-Kurt
Description:	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.
	MIPLIB Entry

Model Group Assignment from MIPLIB:	physiciansched
Assigned Model Group Rank/ISS in the MIC:	112 / 2.675

physiciansched6-1: Instance-to-Instance Comparison Results

Parent Instance (physiciansched6-1)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

physiciansched6-1: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary