Instance - lr1dr04vc05v17a-t360

lr1dr04vc05v17a-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	chromaticindex1024-7 [MIPLIB]	chromaticindex512-7 [MIPLIB]	chromaticindex256-8 [MIPLIB]	chromaticindex128-5 [MIPLIB]	sp97ar [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 / 1.322	2 / 1.338	3 / 1.411	4 / 1.509	5 / 1.556
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	csched007 [MIPLIB]	neos-1067731 [MIPLIB]	csched010 [MIPLIB]	lr1dr02vc05v8a-t360 [MIPLIB]	lr1dr12vc10v70b-t360 [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.	120 / 2.069	144 / 2.104	159 / 2.127	374 / 2.377	986 / 3.138
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 lr1dr04vc05v17a-t360, the five most similar instances to lr1dr04vc05v17a-t360 according to the MIC, and the five most similar instances to lr1dr04vc05v17a-t360 according to MIPLIB 2017.

	INSTANCE	SUBMITTER	DESCRIPTION	ISS	RANK
Parent Instance	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.	0.000000	-
MIC Top 5	chromaticindex1024-7 [MIPLIB]	Pierre Le Bodic	Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees.	1.322446	1
	chromaticindex512-7 [MIPLIB]	Pierre Le Bodic	Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees.	1.337622	2
	chromaticindex256-8 [MIPLIB]	Pierre Le Bodic	Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees.	1.410810	3
	chromaticindex128-5 [MIPLIB]	Pierre Le Bodic	Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees.	1.509409	4
	sp97ar [MIPLIB]	J. Goessens, S. v. Hoessel, L. Kroon	Railway line planning instance. Solved with Gurobi 4.5.1 on a 12-core Linux system in 2678.77 sec.	1.556247	5
MIPLIB Top 5	csched007 [MIPLIB]	Tallys Yunes	Cumulative scheduling problem instance	2.068643	120
	neos-1067731 [MIPLIB]	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	2.104092	144
	csched010 [MIPLIB]	Tallys Yunes	Cumulative scheduling problem instance	2.127109	159
	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.	2.376948	374
	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.	3.138169	986

lr1dr04vc05v17a-t360: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB:	maritime
Assigned Model Group Rank/ISS in the MIC:	209 / 3.680

These are model group composite (MGC) images for the MIC top 5 model groups.
Name	pigeon	satellites	c1s1	neos-pseudoapplication-15	neos-pseudoapplication-32
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 / 1.899	2 / 2.094	3 / 2.141	4 / 2.180	5 / 2.181

Model Group Summary

The table below contains summary information for the five most similar model groups to lr1dr04vc05v17a-t360 according to the MIC.

	MODEL GROUP	SUBMITTER	DESCRIPTION	ISS	RANK
MIC Top 5	pigeon	Sam Allen	Model of 3D packing (container loading) problem	1.899434	1
	satellites	He Renjie	Ihe attachment is some models generated from real life satelliteschedule problem data,these models are easier comparable to real lifeproblem. The work is done by me and Alberto Ceselli from Univeristy ofMilano. I donnot know it is hard enough or not, if needs , I can generatemore difficult models.	2.094235	2
	c1s1	M. Vyve, Y. Pochet	Lot sizing model.	2.140892	3
	neos-pseudoapplication-15	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	2.180150	4
	neos-pseudoapplication-32	NEOS Server Submission	Imported from the MIPLIB2010 submissions.	2.181279	5

lr1dr04vc05v17a-t360: Instance-to-Instance Comparison Results

Parent Instance (lr1dr04vc05v17a-t360)

MIC Top 5 Instances

MIPLIB Top 5 Instances

Instance Summary

lr1dr04vc05v17a-t360: Instance-to-Model Comparison Results

MIC Top 5 Model Groups

Model Group Summary