dc1c: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Double-Click SAS
Description: Crew scheduling instance. This problem was solved on ISM supercomputer Fujitsu PRIMERGY RX200S5 (http://www.ism.ac.jp/computer_system/eng/sc/index.html) by ParaSCIP in approximately 1100 hours with 14 times restarted 15 jobs.
MIPLIB Entry

Parent Instance (dc1c)

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

dc1c Raw dc1c Decomposed dc1c Composite of MIC top 5 dc1c Composite of MIPLIB top 5 dc1c 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.
trento1 decomposed biella1 decomposed dolom1 decomposed core2586-950 decomposed pythago7824 decomposed
Name trento1 [MIPLIB] biella1 [MIPLIB] dolom1 [MIPLIB] core2586-950 [MIPLIB] pythago7824 [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 / 0.648 2 / 0.802 3 / 0.849 4 / 1.059 5 / 1.063
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
trento1 raw biella1 raw dolom1 raw core2586-950 raw pythago7824 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.
trento1 decomposed biella1 decomposed dolom1 decomposed nsr8k decomposed siena1 decomposed
Name trento1 [MIPLIB] biella1 [MIPLIB] dolom1 [MIPLIB] nsr8k [MIPLIB] siena1 [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 / 0.648 2 / 0.802 3 / 0.849 7 / 1.077 49 / 1.466
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
trento1 raw biella1 raw dolom1 raw nsr8k raw siena1 raw

Instance Summary

The table below contains summary information for dc1c, the five most similar instances to dc1c according to the MIC, and the five most similar instances to dc1c according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance dc1c [MIPLIB] Double-Click SAS Crew scheduling instance. This problem was solved on ISM supercomputer Fujitsu PRIMERGY RX200S5 (http://www.ism.ac.jp/computer_system/eng/sc/index.html) by ParaSCIP in approximately 1100 hours with 14 times restarted 15 jobs. 0.000000 -
MIC Top 5 trento1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.647807 1
biella1 [MIPLIB] Double-Click SAS Crew scheduling instance 0.801579 2
dolom1 [MIPLIB] Double-Click SAS Crew scheduling instance. Solved with ParaSCIP with SCIP 3.0.1 linked to CPLEX 12.5 as an LP solver on HLRN III with 12288 cores in two runs First run found a feasible solution whose objective function value is 6615265.0000. Giving the feasible solution, the second run solved the instance in 13684.7671 sec. 0.848500 3
core2586-950 [MIPLIB] A. Caprara, M. Fischetti, P. Toth Set covering instance coming from Italian railway models 1.059340 4
pythago7824 [MIPLIB] Felix J. L. Willamowski 2-coloring of Pythagorean triples 1.062974 5
MIPLIB Top 5 trento1 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.647807 1
biella1 [MIPLIB] Double-Click SAS Crew scheduling instance 0.801579 2
dolom1 [MIPLIB] Double-Click SAS Crew scheduling instance. Solved with ParaSCIP with SCIP 3.0.1 linked to CPLEX 12.5 as an LP solver on HLRN III with 12288 cores in two runs First run found a feasible solution whose objective function value is 6615265.0000. Giving the feasible solution, the second run solved the instance in 13684.7671 sec. 0.848500 3
nsr8k [MIPLIB] MIPLIB submission pool Crew scheduling instance 1.076891 7
siena1 [MIPLIB] Double-Click SAS Crew scheduling instance 1.466004 49


dc1c: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: no model group assignment
Assigned Model Group Rank/ISS in the MIC: N.A. / N.A.

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: 2hopcds Model group: neos-pseudoapplication-103 Model group: f2gap Model group: iis Model group: sct
Name 2hopcds neos-pseudoapplication-103 f2gap iis sct
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 / 1.394 2 / 1.515 3 / 1.531 4 / 1.540 5 / 1.560

Model Group Summary

The table below contains summary information for the five most similar model groups to dc1c according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 2hopcds Austin Buchanan A problem in wireless networks. The objective is to select a minimum number of relay nodes so that any two nonadjacent nodes can communicate by way of the chosen relay nodes in at most s hops, where s is a problem input. The 2-hop case of this problem can be formulated as a set cover/hitting set problem with n binary variables and n^2 constraints: _{ k N(i) N(j) } x_k 1 for nonadjacent node pairs {i,j}. Despite the formulation's simplicity, models with as few as 120 variables are left unsolved after one hour using Gurobi 7.0.2. 1.394404 1
neos-pseudoapplication-103 Hans Mittelmann Collection of anonymous submissions to the NEOS Server for Optimization 1.515465 2
f2gap Salim Haddadi Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) 1.530778 3
iis Marc Pfetsch 23 "middlehard" Set-Covering Models for MIPLIB: they have a small number of variables compared to the number of constraints and CPLEX 12.1 needs about one hour to solve them.For more information, have a look into the readme file which explains how the models can be created. 1.540415 4
sct Siemens Assembly line balancing for printed circuit board production. First solved by Gurobi 7.0 in 65 hours (32 threads). 1.559810 5