Instance - fhnw-binschedule0


	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-3230516-zala [MIPLIB]	neos-3230376-yser [MIPLIB]	npmv07 [MIPLIB]	neos-3218348-suir [MIPLIB]	neos-5140963-mincio [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 / 0.849	2 / 0.876	3 / 0.952	4 / 0.974	5 / 1.026
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-binschedule1 [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.	46 / 1.262	162 / 1.384	163 / 1.384	667 / 1.744	746 / 1.855
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-binschedule0, the five most similar instances to fhnw-binschedule0 according to the MIC, and the five most similar instances to fhnw-binschedule0 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	fhnw-binschedule0 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	0.000000	-
MIC Top 5	neos-3230516-zala [MIPLIB]	Jeff Linderoth	(None provided)	0.848713	1
	neos-3230376-yser [MIPLIB]	Jeff Linderoth	(None provided)	0.876193	2
	npmv07 [MIPLIB]	Q. Chen	Unknown application	0.951732	3
	neos-3218348-suir [MIPLIB]	Jeff Linderoth	(None provided)	0.973647	4
	neos-5140963-mincio [MIPLIB]	Jeff Linderoth	(None provided)	1.025522	5
MIPLIB Top 5	fhnw-binschedule1 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	1.261908	46
	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.	1.383971	162
	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.	1.384397	163
	neos-5149806-wieprz [MIPLIB]	Hans Mittelmann	see ZIMPL model and name on it	1.743777	667
	fhnw-binschedule2 [MIPLIB]	Simon Felix	Scheduling/assignment for an industrial production pipeline	1.854804	746

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	neos-pseudoapplication-109	drayage	scp	neos-pseudoapplication-4	supportvectormachine
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 / 1.233	2 / 1.436	3 / 1.461	4 / 1.486	5 / 1.510

Model Group Summary

The table below contains summary information for the five most similar model groups to fhnw-binschedule0 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	neos-pseudoapplication-109	Jeff Linderoth	(None provided)	1.232904	1
	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.	1.436109	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	1.461020	3
	neos-pseudoapplication-4	Jeff Linderoth	(None provided)	1.485955	4
	supportvectormachine	Toni Sorrell	Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization	1.510134	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:	74 / 2.193

fhnw-binschedule0: Instance-to-Instance Comparison Results

Parent Instance (fhnw-binschedule0)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

fhnw-binschedule0: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary