radiationm40-10-02: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Gleb Belov
Description: 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
MIPLIB Entry

Parent Instance (radiationm40-10-02)

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

radiationm40-10-02 Raw radiationm40-10-02 Decomposed radiationm40-10-02 Composite of MIC top 5 radiationm40-10-02 Composite of MIPLIB top 5 radiationm40-10-02 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.
radiationm18-12-05 decomposed neos-4408804-prosna decomposed neos-5041756-cobark decomposed n3div36 decomposed seqsolve2short4288 decomposed
Name radiationm18-12-05 [MIPLIB] neos-4408804-prosna [MIPLIB] neos-5041756-cobark [MIPLIB] n3div36 [MIPLIB] seqsolve2short4288 [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 / 0.229 2 / 0.229 3 / 0.230 4 / 0.241 5 / 0.246
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
radiationm18-12-05 raw neos-4408804-prosna raw neos-5041756-cobark raw n3div36 raw seqsolve2short4288 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.
radiationm18-12-05 decomposed traininstance6 decomposed traininstance2 decomposed supportcase17 decomposed uccase7 decomposed
Name radiationm18-12-05 [MIPLIB] traininstance6 [MIPLIB] traininstance2 [MIPLIB] supportcase17 [MIPLIB] uccase7 [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 / 0.229 491 / 1.422 499 / 1.437 502 / 1.443 636 / 1.633
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
radiationm18-12-05 raw traininstance6 raw traininstance2 raw supportcase17 raw uccase7 raw

Instance Summary

The table below contains summary information for radiationm40-10-02, the five most similar instances to radiationm40-10-02 according to the MIC, and the five most similar instances to radiationm40-10-02 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance radiationm40-10-02 [MIPLIB] 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 0.000000 -
MIC Top 5 radiationm18-12-05 [MIPLIB] 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 0.229336 1
neos-4408804-prosna [MIPLIB] Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 0.229497 2
neos-5041756-cobark [MIPLIB] Jeff Linderoth (None provided) 0.229579 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. 0.241035 4
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. 0.245714 5
MIPLIB Top 5 radiationm18-12-05 [MIPLIB] 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 0.229336 1
traininstance6 [MIPLIB] 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 1.421761 491
traininstance2 [MIPLIB] 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 1.436609 499
supportcase17 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 1.442743 502
uccase7 [MIPLIB] Daniel Espinoza Imported from the MIPLIB2010 submissions. 1.632561 636


radiationm40-10-02: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: radiation
Assigned Model Group Rank/ISS in the MIC: 1 / 0.268

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: radiation Model group: n37 Model group: seqsolve Model group: sp_product Model group: graphs
Name radiation n37 seqsolve sp_product graphs
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 / 0.268 2 / 0.329 3 / 0.518 4 / 0.606 5 / 0.696

Model Group Summary

The table below contains summary information for the five most similar model groups to radiationm40-10-02 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 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 0.268354 1
n37 J. Aronson Fixed charge transportation problem 0.328811 2
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. 0.518451 3
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.606491 4
graphs Michael Bastubbe Packing Cuts in Undirected Graphs. Models are described in 4.1. 0.696404 5


Updated August 16, 2019