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neos-876808: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | NEOS Server Submission |
Description: | Imported from the MIPLIB2010 submissions. |
MIPLIB Entry |
Parent Instance (neos-876808)
All other instances below were be compared against this "query" instance.![]() ![]() |
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Raw
This is the CCM image before the decomposition procedure has been applied.
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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.
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Composite of MIC Top 5
Composite of the five decomposed CCM images from the MIC Top 5.
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Composite of MIPLIB Top 5
Composite of the five decomposed CCM images from the MIPLIB Top 5.
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Model Group Composite Image
Composite of the decomposed CCM images for every instance in the same model group as this query.
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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.
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Name | thor50dday [MIPLIB] | graph40-20-1rand [MIPLIB] | ns1430538 [MIPLIB] | cap6000 [MIPLIB] | graph40-40-1rand [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.
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1 / 0.227 | 2 / 0.272 | 3 / 0.283 | 4 / 0.309 | 5 / 0.313 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
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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.
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Name | s1234 [MIPLIB] | neos-4954274-beardy [MIPLIB] | bnatt400 [MIPLIB] | bnatt500 [MIPLIB] | circ10-3 [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.
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274 / 1.093 | 296 / 1.130 | 525 / 1.468 | 547 / 1.496 | 825 / 2.195 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
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Instance Summary
The table below contains summary information for neos-876808, the five most similar instances to neos-876808 according to the MIC, and the five most similar instances to neos-876808 according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | neos-876808 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
MIC Top 5 | thor50dday [MIPLIB] | Daniel Rehfeldt | Steiner tree problem in graphs instance, consisting of a complete graph with 231 vertices of which 50 are terminals. The vertices correspond to cities (mostly capitals) around the world, the edges weights correspond to the distances in km. | 0.226862 | 1 |
graph40-20-1rand [MIPLIB] | Michael Bastubbe | Packing Cuts in Undirected Graphs. Instances are described in 4.1. | 0.271775 | 2 | |
ns1430538 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application. | 0.283453 | 3 | |
cap6000 [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.309226 | 4 | |
graph40-40-1rand [MIPLIB] | Michael Bastubbe | Packing Cuts in Undirected Graphs. Instances are described in 4.1. | 0.312979 | 5 | |
MIPLIB Top 5 | s1234 [MIPLIB] | Siwei Sun | These models come from my cryptographic research and are used to search for the best differential characteristics of the round-reduced versions of the block cipher Serpent with the mixed-integer programming technique. For all the models, including S1234.lp, S56701.lp, S456701.lp, I have found a feasible solution in the corresponding mst file. The challenge is that can we find better solutions or can we find the best solutions. | 1.093059 | 274 |
neos-4954274-beardy [MIPLIB] | Jeff Linderoth | Reported solved after 77000 seconds using Gurobi with 32 threads. | 1.130436 | 296 | |
bnatt400 [MIPLIB] | Tatsuya Akutsu | Model to identify a singleton attractor in a Boolean network, applications in computational systems biology. Solved by SCIP 3.0 with SoPlex 1.7.0 in half an hour. A Intel Core2 Extreme CPU X9659 @3.00GHz was used. | 1.467560 | 525 | |
bnatt500 [MIPLIB] | Tatsuya Akutsu | We are submitting ILP data for identification of a singletonattractor in a Boolean newtork, which is a well-known problemin computational systems biology.This problem is known to be NP-hard and we developed a methodto transform an instance of the problem to an integer linearprogram (ILP).We used ILPs from artificially generated Boolean networks ofindegree 3.The size of the networks are: 350, 400, 500.Even for the case of 500, we could not find a solution within6 hours using CPLEX 11.2 on a PC with XEON 5470 3.33GHz CPU.(This ILP corresponds to the case of size=350.File format is (zipped) CPLEX LP format.)The details of the method appeared in:T. Akutsu, M. Hayashida and T. Tamura, Integer programming-basedmethods for attractor detection and control of Boolean networks,Proc. The combined 48th IEEE Conference on Decision and Controland 28th Chinese Control Conference (IEEE CDC/CCC 2009), 5610-5617, 2009. | 1.496050 | 547 | |
circ10-3 [MIPLIB] | M. Winkler | Instance from the 2010 SAT conference pseudo-Boolean competition | 2.194603 | 825 |
neos-876808: Instance-to-Model Comparison Results
Model Group Assignment from MIPLIB: | neos-pseudoapplication-62 |
Assigned Model Group Rank/ISS in the MIC: | 185 / 3.458 |
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.
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Name | n37 | radiation | sp_product | map | graphs | |
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.
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1 / 0.441 | 2 / 0.516 | 3 / 0.640 | 4 / 0.652 | 5 / 0.655 |
Model Group Summary
The table below contains summary information for the five most similar model groups to neos-876808 according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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MIC Top 5 | n37 | J. Aronson | Fixed charge transportation problem | 0.440699 | 1 |
radiation | Gleb Belov | Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don't know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38 | 0.516430 | 2 | |
sp_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.639586 | 3 | |
map | Kiyan Ahmadizadeh | Land parcel selection problems motivated by Red-Cockaded Woodpecker conservation problem | 0.652308 | 4 | |
graphs | Michael Bastubbe | Packing Cuts in Undirected Graphs. Models are described in 4.1. | 0.654557 | 5 |