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network_design
Type: | Model Group |
Submitter: | MIPLIB submission pool |
Description: | Imported from the MIPLIB2010 submissions. |
Parent Model Group (network_design)
All other model groups below were be compared against this "query" model group.![]() ![]() |
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Model Group Composite (MGC) image
Composite of the decomposed CCM images for every instance in the query model group.
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Component Instances (Decomposed)
These are the decomposed CCM images for each instance in the query model group.![]() ![]() |
These are component instance images.
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Name | dfn-bwin-DBE | cost266-UUE | germany50-UUM | ta1-UUM | ta2-UUE |
MIC Top 5 Model Groups
These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric.![]() ![]() |
FIXME - These are model group composite images.
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Name | maxfeassub | assign1 | 2hopcds | f2gap | iis | |
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query model group and all other model groups. A smaller ISS value indicates greater similarity.
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1 / 1.322 | 2 / 1.361 | 3 / 1.393 | 4 / 1.421 | 5 / 1.470 |
Model Group Summary
The table below contains summary information for network_design, and for the five most similar model groups to network_design according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Model Group | network_design | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | maxfeassub | 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. | 1.321705 | 1 |
assign1 | Robert Fourer | Imported from the MIPLIB2010 submissions. | 1.360604 | 2 | |
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. | 1.393208 | 3 | |
f2gap | Salim Haddadi | Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 1.421340 | 4 | |
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. | 1.470154 | 5 |