seqsolve1: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Irv Lustig
Description: 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.
MIPLIB Entry

Parent Instance (seqsolve1)

All other instances below were be compared against this "query" instance.

seqsolve1 Raw seqsolve1 Decomposed seqsolve1 Composite of MIC top 5 seqsolve1 Composite of MIPLIB top 5 seqsolve1 Model Group Composite
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.

MIC Top 5 Instances

These are the 5 decomposed CCM images that are most similar to decomposed CCM image for the the query instance, according to the ISS metric.

Decomposed These decomposed images were created by GCG.
seqsolve2short4288 decomposed seqsolve3short4288excess384 decomposed brasil decomposed n3div36 decomposed neos-3381206-awhea decomposed
Name seqsolve2short4288 [MIPLIB] seqsolve3short4288excess384 [MIPLIB] brasil [MIPLIB] n3div36 [MIPLIB] neos-3381206-awhea [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 / 0.017 2 / 0.027 3 / 0.202 4 / 0.212 5 / 0.216
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
seqsolve2short4288 raw seqsolve3short4288excess384 raw brasil raw n3div36 raw neos-3381206-awhea raw

MIPLIB Top 5 Instances

These are the 5 instances that are most closely related to the query instance, according to the instance statistic-based similarity measure employed by MIPLIB 2017

Decomposed These decomposed images were created by GCG.
seqsolve2short4288 decomposed seqsolve3short4288excess384 decomposed allcolor58 decomposed fhnw-binschedule0 decomposed fhnw-binschedule2 decomposed
Name seqsolve2short4288 [MIPLIB] seqsolve3short4288excess384 [MIPLIB] allcolor58 [MIPLIB] fhnw-binschedule0 [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.
1 / 0.017 2 / 0.027 147 / 0.830 440 / 1.384 837 / 2.221
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
seqsolve2short4288 raw seqsolve3short4288excess384 raw allcolor58 raw fhnw-binschedule0 raw fhnw-binschedule2 raw

Instance Summary

The table below contains summary information for seqsolve1, the five most similar instances to seqsolve1 according to the MIC, and the five most similar instances to seqsolve1 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance 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. 0.000000 -
MIC Top 5 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. 0.017486 1
seqsolve3short4288excess384 [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. 0.026554 2
brasil [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.202206 3
n3div36 [MIPLIB] R. Meirich Static line planning models on the Dutch IC network. Solved with Gurobi 4.5.1 on a 12-core Linux system in 1700.37 sec. 0.212498 4
neos-3381206-awhea [MIPLIB] Jeff Linderoth (None provided) 0.216180 5
MIPLIB Top 5 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. 0.017486 1
seqsolve3short4288excess384 [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. 0.026554 2
allcolor58 [MIPLIB] Domenico Salvagnin Prepack optimization model. 0.830095 147
fhnw-binschedule0 [MIPLIB] Simon Felix Scheduling/assignment for an industrial production pipeline 1.384397 440
fhnw-binschedule2 [MIPLIB] Simon Felix Scheduling/assignment for an industrial production pipeline 2.221050 837


seqsolve1: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: seqsolve
Assigned Model Group Rank/ISS in the MIC: 1 / 0.019

MIC Top 5 Model Groups

These are the 5 model group composite (MGC) images that are most similar to the decomposed CCM image for the query instance, according to the ISS metric.

These are model group composite (MGC) images for the MIC top 5 model groups.
Model group: seqsolve Model group: radiation Model group: n37 Model group: sp_product Model group: ab
Name seqsolve radiation n37 sp_product ab
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 / 0.019 2 / 0.511 3 / 0.591 4 / 0.794 5 / 0.796

Model Group Summary

The table below contains summary information for the five most similar model groups to seqsolve1 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 seqsolve 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. 0.019458 1
radiation 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 0.511287 2
n37 J. Aronson Fixed charge transportation problem 0.591361 3
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.793753 4
ab MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.796323 5


Updated August 16, 2019