Instance - fhnw-binschedule1


	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	transportmoment [MIPLIB]	mario-t-hard5i [MIPLIB]	opt1217 [MIPLIB]	neos-3656078-kumeu [MIPLIB]	danoint [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 / 0.984	2 / 1.003	3 / 1.024	4 / 1.026	5 / 1.027
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	fhnw-binschedule0 [MIPLIB]	seqsolve2short4288 [MIPLIB]	seqsolve1 [MIPLIB]	neos-5149806-wieprz [MIPLIB]	fhnw-binschedule2 [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.	113 / 1.262	193 / 1.335	195 / 1.336	495 / 1.514	820 / 1.962
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 fhnw-binschedule1, the five most similar instances to fhnw-binschedule1 according to the MIC, and the five most similar instances to fhnw-binschedule1 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	fhnw-binschedule1 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	0.000000	-
MIC Top 5	transportmoment [MIPLIB]	G. Gamrath	Transport momentum maximization in a capacitated gas network, cycles are forbidden by pseudo pressures. Solved by Gurobi 4.6.1 (12 threads) in 30 seconds (January 2012).	0.983730	1
	mario-t-hard5i [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	1.002807	2
	opt1217 [MIPLIB]	MIPLIB submission pool	Imported from the MIPLIB2010 submissions.	1.023910	3
	neos-3656078-kumeu [MIPLIB]	Jeff Linderoth	(None provided)	1.026289	4
	danoint [MIPLIB]	Daniel Bienstock	Telecommunications applications	1.027096	5
MIPLIB Top 5	fhnw-binschedule0 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	1.261908	113
	seqsolve2short4288 [MIPLIB]	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.	1.335203	193
	seqsolve1 [MIPLIB]	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.	1.335577	195
	neos-5149806-wieprz [MIPLIB]	Hans Mittelmann	see ZIMPL model and name on it	1.514204	495
	fhnw-binschedule2 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	1.962181	820

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-97	mario	neos-pseudoapplication-63	mc	neos-pseudoapplication-74
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 / 1.394	2 / 1.402	3 / 1.435	4 / 1.458	5 / 1.526

Model Group Summary

The table below contains summary information for the five most similar model groups to fhnw-binschedule1 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-97	Jeff Linderoth	(None provided)	1.394435	1
	mario	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	1.401627	2
	neos-pseudoapplication-63	Jeff Linderoth	(None provided)	1.435005	3
	mc	F. Ortega, L. Wolsey	Fixed cost network flow problems	1.457544	4
	neos-pseudoapplication-74	Jeff Linderoth	(None provided)	1.525862	5

Type:	Instance
Submitter:	Simon Felix
Description:	Scheduling/assignment for an industrial production pipeline
	MIPLIB Entry

Model Group Assignment from MIPLIB:	fhnw-bin
Assigned Model Group Rank/ISS in the MIC:	26 / 1.843

fhnw-binschedule1: Instance-to-Instance Comparison Results

Parent Instance (fhnw-binschedule1)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

fhnw-binschedule1: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary