Instance - lr1dr12vc10v70b-t360

lr1dr12vc10v70b-t360: Instance-to-Instance Comparison Results

Type:	Instance
Submitter:	Dimitri Papageorgiou
Description:	Maritime Inventory Routing Problem Library - Group 2 Instances. These instances are available at https://mirplib.scl.gatech.edu/instances, along with a host of additional information such as the underlying data used to generate the model, best known upper and lower bounds, and more. There are three sets of 24 instances (for a total of 72 instances) with a planning horizon of 120, 180, and 360 time periods, respectively. As of March 2016, Cplex and Gurobi could only solve one or two to provably optimality in less than an hour.
	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-2629914-sudost [MIPLIB]	physiciansched5-3 [MIPLIB]	qap10 [MIPLIB]	neos-4382714-ruvuma [MIPLIB]	reblock166 [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 / 1.308	2 / 1.968	3 / 2.044	4 / 2.070	5 / 2.085
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	lr1dr02vc05v8a-t360 [MIPLIB]	triptim1 [MIPLIB]	csched010 [MIPLIB]	lr1dr04vc05v17a-t360 [MIPLIB]	neos-4703857-ahuroa [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.	48 / 2.333	98 / 2.507	189 / 2.734	617 / 3.138	928 / 3.282
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 lr1dr12vc10v70b-t360, the five most similar instances to lr1dr12vc10v70b-t360 according to the MIC, and the five most similar instances to lr1dr12vc10v70b-t360 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	lr1dr12vc10v70b-t360 [MIPLIB]	Dimitri Papageorgiou	Maritime Inventory Routing Problem Library - Group 2 Instances. These instances are available at https://mirplib.scl.gatech.edu/instances, along with a host of additional information such as the underlying data used to generate the model, best known upper and lower bounds, and more. There are three sets of 24 instances (for a total of 72 instances) with a planning horizon of 120, 180, and 360 time periods, respectively. As of March 2016, Cplex and Gurobi could only solve one or two to provably optimality in less than an hour.	0.000000	-
MIC Top 5	neos-2629914-sudost [MIPLIB]	Jeff Linderoth	(None provided)	1.308280	1
	physiciansched5-3 [MIPLIB]	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	1.968460	2
	qap10 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	2.044397	3
	neos-4382714-ruvuma [MIPLIB]	Hans Mittelmann	Collection of anonymous submissions to the NEOS Server for Optimization	2.069694	4
	reblock166 [MIPLIB]	Andreas Bley	Multi-period mine production scheduling instance	2.085366	5
MIPLIB Top 5	lr1dr02vc05v8a-t360 [MIPLIB]	Dimitri Papageorgiou	Maritime Inventory Routing Problem Library - Group 2 Instances. These instances are available at https://mirplib.scl.gatech.edu/instances, along with a host of additional information such as the underlying data used to generate the model, best known upper and lower bounds, and more. There are three sets of 24 instances (for a total of 72 instances) with a planning horizon of 120, 180, and 360 time periods, respectively. As of March 2016, Cplex and Gurobi could only solve one or two to provably optimality in less than an hour.	2.333289	48
	triptim1 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	2.507133	98
	csched010 [MIPLIB]	Tallys Yunes	Cumulative scheduling problem instance	2.733625	189
	lr1dr04vc05v17a-t360 [MIPLIB]	Dimitri Papageorgiou	Maritime Inventory Routing Problem Library - Group 2 Instances. These instances are available at https://mirplib.scl.gatech.edu/instances, along with a host of additional information such as the underlying data used to generate the model, best known upper and lower bounds, and more. There are three sets of 24 instances (for a total of 72 instances) with a planning horizon of 120, 180, and 360 time periods, respectively. As of March 2016, Cplex and Gurobi could only solve one or two to provably optimality in less than an hour.	3.138169	617
	neos-4703857-ahuroa [MIPLIB]	Jeff Linderoth	(None provided)	3.281898	928

lr1dr12vc10v70b-t360: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	maritime
Assigned Model Group Rank/ISS in the MIC:	82 / 3.428

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-66	physiciansched	triptim	gfd-schedule	f2gap
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 / 2.112	2 / 2.367	3 / 2.585	4 / 2.615	5 / 2.679

Model Group Summary

The table below contains summary information for the five most similar model groups to lr1dr12vc10v70b-t360 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-66	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	2.112158	1
	physiciansched	Pelin Damci-Kurt	Physician scheduling problem for hospitalist, radiology and kidney specialist groups.	2.366560	2
	triptim	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	2.584519	3
	gfd-schedule	Gleb Belov	These are the models 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 models can only be handled by solvers accepting indicator constraints. For models 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 models with full paths to mzn/dzn files of each model 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 model 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	2.614984	4
	f2gap	Salim Haddadi	Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600)	2.679384	5

lr1dr12vc10v70b-t360: Instance-to-Instance Comparison Results

Parent Instance (lr1dr12vc10v70b-t360)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

lr1dr12vc10v70b-t360: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary