snp-02-004-104: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Gerald Gamrath
Description: Supply network planning problems.
MIPLIB Entry

Parent Instance (snp-02-004-104)

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

snp-02-004-104 Raw snp-02-004-104 Decomposed snp-02-004-104 Composite of MIC top 5 snp-02-004-104 Composite of MIPLIB top 5 snp-02-004-104 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.
snp-04-052-052 decomposed milo-v12-6-r1-58-1 decomposed milo-v12-6-r1-75-1 decomposed neos-5041756-cobark decomposed neos-824661 decomposed
Name snp-04-052-052 [MIPLIB] milo-v12-6-r1-58-1 [MIPLIB] milo-v12-6-r1-75-1 [MIPLIB] neos-5041756-cobark [MIPLIB] neos-824661 [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 / 0.520 2 / 0.651 3 / 0.653 4 / 0.731 5 / 0.735
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
snp-04-052-052 raw milo-v12-6-r1-58-1 raw milo-v12-6-r1-75-1 raw neos-5041756-cobark raw neos-824661 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.
snp-04-052-052 decomposed snp-10-052-052 decomposed snp-06-004-052 decomposed snp-10-004-052 decomposed rentacar decomposed
Name snp-04-052-052 [MIPLIB] snp-10-052-052 [MIPLIB] snp-06-004-052 [MIPLIB] snp-10-004-052 [MIPLIB] rentacar [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 / 0.520 330 / 1.258 424 / 1.349 461 / 1.402 603 / 1.586
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
snp-04-052-052 raw snp-10-052-052 raw snp-06-004-052 raw snp-10-004-052 raw rentacar raw

Instance Summary

The table below contains summary information for snp-02-004-104, the five most similar instances to snp-02-004-104 according to the MIC, and the five most similar instances to snp-02-004-104 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance snp-02-004-104 [MIPLIB] Gerald Gamrath Supply network planning problems. 0.000000 -
MIC Top 5 snp-04-052-052 [MIPLIB] Gerald Gamrath Supply network planning problems. 0.520035 1
milo-v12-6-r1-58-1 [MIPLIB] Tamas Terlaky The models come from structural design optimization where the objective is to minimize the total weight of 2 and 3 dimensional cantilevers. The 2D examples are simpler, and GuRobi can solve the 40_1 and 58_1 instances, while struggles with 75_1. The 3D examples are more challenging. The x_0 and x_1 models are two different modeling of the same identical problems, so their optimal value is the same. The 1_x and 2_x problems are solved by GuRoBi, the 3_x and 4_x are not solved in reasonable time. 0.651144 2
milo-v12-6-r1-75-1 [MIPLIB] Tamas Terlaky The models come from structural design optimization where the objective is to minimize the total weight of 2 and 3 dimensional cantilevers. The 2D examples are simpler, and GuRobi can solve the 40_1 and 58_1 instances, while struggles with 75_1. The 3D examples are more challenging. The x_0 and x_1 models are two different modeling of the same identical problems, so their optimal value is the same. The 1_x and 2_x problems are solved by GuRoBi, the 3_x and 4_x are not solved in reasonable time. 0.652996 3
neos-5041756-cobark [MIPLIB] Jeff Linderoth (None provided) 0.731476 4
neos-824661 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 0.734804 5
MIPLIB Top 5 snp-04-052-052 [MIPLIB] Gerald Gamrath Supply network planning problems. 0.520035 1
snp-10-052-052 [MIPLIB] Gerald Gamrath Supply network planning problems. 1.258034 330
snp-06-004-052 [MIPLIB] Gerald Gamrath Supply network planning problems. 1.348776 424
snp-10-004-052 [MIPLIB] Gerald Gamrath Supply network planning problems. 1.402202 461
rentacar [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.585603 603


snp-02-004-104: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: supplynetworkplanning
Assigned Model Group Rank/ISS in the MIC: 93 / 2.257

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: n37 Model group: sp_product Model group: radiation Model group: seqsolve Model group: neos-pseudoapplication-2
Name n37 sp_product radiation seqsolve neos-pseudoapplication-2
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 / 1.045 2 / 1.052 3 / 1.059 4 / 1.070 5 / 1.096

Model Group Summary

The table below contains summary information for the five most similar model groups to snp-02-004-104 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 n37 J. Aronson Fixed charge transportation problem 1.045435 1
sp_product MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.051922 2
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 1.058587 3
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. 1.070362 4
neos-pseudoapplication-2 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.096438 5


Updated August 16, 2019