×
ds: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | MIPLIB submission pool |
Description: | Imported from MIPLIB2003. |
MIPLIB Entry |
Parent Instance (ds)
All other instances below were be compared against this "query" instance.
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.
|
||||||
Name | wnq-n100-mw99-14 [MIPLIB] | neos-820879 [MIPLIB] | ex1010-pi [MIPLIB] | neos-4382714-ruvuma [MIPLIB] | gasprod1-2 [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 / 1.996 | 2 / 2.117 | 3 / 2.125 | 4 / 2.135 | 5 / 2.142 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
|
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.
|
||||||
Name | air03 [MIPLIB] | eil33-2 [MIPLIB] | irp [MIPLIB] | ds-big [MIPLIB] | ivu06 [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.
|
13 / 2.242 | 20 / 2.338 | 23 / 2.363 | 966 / 3.384 | 975 / 3.423 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
|
Instance Summary
The table below contains summary information for ds, the five most similar instances to ds according to the MIC, and the five most similar instances to ds according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
Parent Instance | ds [MIPLIB] | MIPLIB submission pool | Imported from MIPLIB2003. | 0.000000 | - |
MIC Top 5 | wnq-n100-mw99-14 [MIPLIB] | M. Winkler | Weighted n-queens problem with an additional separation constraint. Solved by Gurobi 4.6.1 (12 threads) in 28124 seconds (January 2012). | 1.995825 | 1 |
neos-820879 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.116821 | 2 | |
ex1010-pi [MIPLIB] | M. Winkler | Logic synthesis problem from the 2010 SAT conference pseudo-Boolean competition | 2.124624 | 3 | |
neos-4382714-ruvuma [MIPLIB] | Hans Mittelmann | Collection of anonymous submissions to the NEOS Server for Optimization | 2.135302 | 4 | |
gasprod1-2 [MIPLIB] | Andrew Stamps | Production planning model for an industrial gas process. Three instances of the model included. | 2.141933 | 5 | |
MIPLIB Top 5 | air03 [MIPLIB] | G. Astfalk | Airline crew scheduling set partitioning problem | 2.242409 | 13 |
eil33-2 [MIPLIB] | J. Linderoth | Set partitioning problem approximation for capicated vehicle routing problem instance from TSPLIB | 2.337512 | 20 | |
irp [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 2.362999 | 23 | |
ds-big [MIPLIB] | Steffen Weider | Bus driver duty scheduling problem | 3.384461 | 966 | |
ivu06 [MIPLIB] | S. Weider | Set partitioning instance resulting from a column generation algorithm used for duty scheduling in public transportation. Solved in June 2014 using CPLEX 12.6 with 48 threads in about 25 days. | 3.423405 | 975 |
ds: 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.
|
||||||
Name | Spinoza | f2gap | neos-pseudoapplication-101 | momentum | generated | |
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 / 2.529 | 2 / 2.551 | 3 / 2.597 | 4 / 2.669 | 5 / 2.679 |
Model Group Summary
The table below contains summary information for the five most similar model groups to ds according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
---|---|---|---|---|---|
MIC Top 5 | Spinoza | Daniel Espinoza | Wine Scheduling problem with 82 jobs and four processing machines | 2.529058 | 1 |
f2gap | Salim Haddadi | Restrictions of well-known hard generalized assignment problem models (D10400,D20400,D40400,D15900,D30900,D60900,D201600,D401600,D801600) | 2.550935 | 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. | 2.596966 | 3 | |
momentum | T. Koch | Snapshot based UMTS planning problem, having a very wide dynamic range in the matrix coefficients and tending to be numerically unstable. Solved with Gurobi 4.5.1 on a 12-core Linux system in 3590.41 sec. | 2.669370 | 4 | |
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. | 2.679127 | 5 |