supportcase10: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Michael Winkler
Description: MIP instances collected from Gurobi forum with unknown application
MIPLIB Entry

Parent Instance (supportcase10)

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

supportcase10 Raw supportcase10 Decomposed supportcase10 Composite of MIC top 5 supportcase10 Composite of MIPLIB top 5 supportcase10 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.
tpl-tub-ss16 decomposed bab3 decomposed tpl-tub-ws1617 decomposed iis-hc-cov decomposed icir97_tension decomposed
Name tpl-tub-ss16 [MIPLIB] bab3 [MIPLIB] tpl-tub-ws1617 [MIPLIB] iis-hc-cov [MIPLIB] icir97_tension [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 / 1.602 2 / 1.647 3 / 1.675 4 / 1.697 5 / 1.736
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
tpl-tub-ss16 raw bab3 raw tpl-tub-ws1617 raw iis-hc-cov raw icir97_tension 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.
genus-sym-g62-2 decomposed neos-3283608-agout decomposed ns1828997 decomposed genus-g61-25 decomposed neos-950242 decomposed
Name genus-sym-g62-2 [MIPLIB] neos-3283608-agout [MIPLIB] ns1828997 [MIPLIB] genus-g61-25 [MIPLIB] neos-950242 [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.
75 / 2.146 170 / 2.411 382 / 2.665 388 / 2.672 966 / 3.091
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
genus-sym-g62-2 raw neos-3283608-agout raw ns1828997 raw genus-g61-25 raw neos-950242 raw

Instance Summary

The table below contains summary information for supportcase10, the five most similar instances to supportcase10 according to the MIC, and the five most similar instances to supportcase10 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance supportcase10 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 0.000000 -
MIC Top 5 tpl-tub-ss16 [MIPLIB] János Höner Model for the Post-Enrollment Course Timetabling Problem at TU Berlin from the summer term 2016 and the winter term 2016/2017 1.601854 1
bab3 [MIPLIB] Elmar Swarat Vehicle routing with profits and an integrated crew scheduling problem formulated by two coupled multi-commodity flow problems 1.646937 2
tpl-tub-ws1617 [MIPLIB] János Höner Model for the Post-Enrollment Course Timetabling Problem at TU Berlin from the summer term 2016 and the winter term 2016/2017 1.675326 3
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. 1.697329 4
icir97_tension [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.736455 5
MIPLIB Top 5 genus-sym-g62-2 [MIPLIB] Stephan Beyer Minimum Genus instance, with symmetry breaking constraints, of g.62.2 (undirected) of the AT&T Graphs by Stephen C. North. 2.145721 75
neos-3283608-agout [MIPLIB] Jeff Linderoth (None provided) 2.410769 170
ns1828997 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application. 2.665194 382
genus-g61-25 [MIPLIB] Stephan Beyer Minimum Genus instance of g.61.25 (undirected) of the AT&T Graphs by Stephen C. North. 2.671804 388
neos-950242 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 3.090928 966


supportcase10: 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: gmu Model group: generated Model group: neos-pseudoapplication-101 Model group: independentset Model group: 2hopcds
Name gmu generated neos-pseudoapplication-101 independentset 2hopcds
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 / 2.219 2 / 2.276 3 / 2.300 4 / 2.308 5 / 2.329

Model Group Summary

The table below contains summary information for the five most similar model groups to supportcase10 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 gmu Nora Konnyu Timber harvest scheduling model These are harvest scheduling models of hypothetical forest planning problems where net timber revenues are maximized over a planning horizon subject to four sets of constraints: 1. Each management unit can be harvested only once over the planning horizon, 2. Volume harvested in one planning period should not be less or more than some portion of that in the preceding period, 3. Area-weighted average age of the forest by the end of the plan should notbe less than a certain target age. 4. Clearcut size in any planning period has to be below a specific limit. Decision variable are management units and generalized management units (group of management units with a combined area not exceeding the limit on clearcut size) and can be either fully harvested or left untouched in any planning period, therefore there is a binary restriction on the decision variables. 2.218663 1
generated Simon Bowly Randomly generated integer and binary programming models. These results are part of an early phase of work aimed at generating diverse and challenging MIP models for experimental testing. We have aimed to produce small integer and binary programming models which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 2.276142 2
neos-pseudoapplication-101 NEOS Server Submission Model coming from the NEOS Server with unknown application. Infeasibility claimed by CPLEX 12.6 and CPLEX 12.6.1 with extreme numerical caution emphasi after 4 and 2 hours computation, respectively. 2.300357 3
independentset Toni Sorrell These models are based on Neil Sloane's Challenge problems: Independent Sets in Graphs. 2.307956 4
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. 2.329229 5