v150d30-2hopcds: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Austin Buchanan
Description: 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, instances with as few as 120 variables are left unsolved after one hour using Gurobi 7.0.2.
MIPLIB Entry

Parent Instance (v150d30-2hopcds)

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

v150d30-2hopcds Raw v150d30-2hopcds Decomposed v150d30-2hopcds Composite of MIC top 5 v150d30-2hopcds Composite of MIPLIB top 5 v150d30-2hopcds 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.
core2536-691 decomposed core4284-1064 decomposed scpk4 decomposed sorrell4 decomposed scpj4scip decomposed
Name core2536-691 [MIPLIB] core4284-1064 [MIPLIB] scpk4 [MIPLIB] sorrell4 [MIPLIB] scpj4scip [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 / 0.747 2 / 0.762 3 / 0.800 4 / 0.809 5 / 0.826
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
core2536-691 raw core4284-1064 raw scpk4 raw sorrell4 raw scpj4scip 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.
iis-hc-cov decomposed glass-sc decomposed iis-glass-cov decomposed ramos3 decomposed seymour decomposed
Name iis-hc-cov [MIPLIB] glass-sc [MIPLIB] iis-glass-cov [MIPLIB] ramos3 [MIPLIB] seymour [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.
23 / 1.072 46 / 1.349 47 / 1.356 127 / 2.008 155 / 2.108
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
iis-hc-cov raw glass-sc raw iis-glass-cov raw ramos3 raw seymour raw

Instance Summary

The table below contains summary information for v150d30-2hopcds, the five most similar instances to v150d30-2hopcds according to the MIC, and the five most similar instances to v150d30-2hopcds according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance v150d30-2hopcds [MIPLIB] 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, instances with as few as 120 variables are left unsolved after one hour using Gurobi 7.0.2. 0.000000 -
MIC Top 5 core2536-691 [MIPLIB] A. Caprara, M. Fischetti, P. Toth Set covering instance coming from Italian railway models 0.746644 1
core4284-1064 [MIPLIB] A. Caprara, M. Fischetti, P. Toth Set covering instance coming from Italian railway models 0.762239 2
scpk4 [MIPLIB] Shunji Umetani This is a random test instance generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five instances. We have also generated reduced instances by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the instance generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 0.799984 3
sorrell4 [MIPLIB] Toni Sorrell These instances are based on Neil Sloane's Challenge problems: Independent Sets in Graphs. 0.809446 4
scpj4scip [MIPLIB] Shunji Umetani This is a random test instance generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five instances. We have also generated reduced instances by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the instance generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 0.826172 5
MIPLIB Top 5 iis-hc-cov [MIPLIB] Marc Pfetsch 23 "middlehard" Set-Covering Instances 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 instances can be created. 1.072293 23
glass-sc [MIPLIB] Marc Pfetsch Set covering problems arising from a Benders algorithm for finding maximum feasible subsystems. More details on the generation is given in the README file in the tarball. 1.348591 46
iis-glass-cov [MIPLIB] Marc Pfetsch 23 "middlehard" Set-Covering Instances 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 instances can be created. 1.355827 47
ramos3 [MIPLIB] F. Ramos Set covering problem from a product manufacturing application 2.008160 127
seymour [MIPLIB] W. Cook, P. Seymour A set-covering problem that arose from work related to the proof of the 4-color theorem. 2.108225 155


v150d30-2hopcds: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: 2hopcds
Assigned Model Group Rank/ISS in the MIC: 1 / 0.0

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: f2gap Model group: assign1 Model group: iis Model group: mod
Name 2hopcds f2gap assign1 iis mod
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 / 0.000 2 / 0.898 3 / 0.952 4 / 0.982 5 / 0.995

Model Group Summary

The table below contains summary information for the five most similar model groups to v150d30-2hopcds 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. 0.000000 1
f2gap Salim Haddadi Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) 0.898042 2
assign1 Robert Fourer Imported from the MIPLIB2010 submissions. 0.952453 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. 0.982170 4
mod MIPLIB submission pool Imported from the MIPLIB2010 submissions. 0.994775 5