cryptanalysiskb128n5obj14: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Gleb Belov
Description: 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
MIPLIB Entry

Parent Instance (cryptanalysiskb128n5obj14)

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

cryptanalysiskb128n5obj14 Raw cryptanalysiskb128n5obj14 Decomposed cryptanalysiskb128n5obj14 Composite of MIC top 5 cryptanalysiskb128n5obj14 Composite of MIPLIB top 5 cryptanalysiskb128n5obj14 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.
cryptanalysiskb128n5obj16 decomposed lectsched-4-obj decomposed gen-ip054 decomposed vpphard2 decomposed timtab1 decomposed
Name cryptanalysiskb128n5obj16 [MIPLIB] lectsched-4-obj [MIPLIB] gen-ip054 [MIPLIB] vpphard2 [MIPLIB] timtab1 [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 / 0.136 2 / 1.256 3 / 1.305 4 / 1.339 5 / 1.343
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
cryptanalysiskb128n5obj16 raw lectsched-4-obj raw gen-ip054 raw vpphard2 raw timtab1 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.
cryptanalysiskb128n5obj16 decomposed fhnw-binpack4-58 decomposed gfd-schedulen180f7d50m30k18 decomposed supportcase4 decomposed neos-3603137-hoteo decomposed
Name cryptanalysiskb128n5obj16 [MIPLIB] fhnw-binpack4-58 [MIPLIB] gfd-schedulen180f7d50m30k18 [MIPLIB] supportcase4 [MIPLIB] neos-3603137-hoteo [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.
1 / 0.136 160 / 1.530 425 / 1.707 570 / 1.803 791 / 2.087
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
cryptanalysiskb128n5obj16 raw fhnw-binpack4-58 raw gfd-schedulen180f7d50m30k18 raw supportcase4 raw neos-3603137-hoteo raw

Instance Summary

The table below contains summary information for cryptanalysiskb128n5obj14, the five most similar instances to cryptanalysiskb128n5obj14 according to the MIC, and the five most similar instances to cryptanalysiskb128n5obj14 according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance cryptanalysiskb128n5obj14 [MIPLIB] 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 0.000000 -
MIC Top 5 cryptanalysiskb128n5obj16 [MIPLIB] 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 0.135655 1
lectsched-4-obj [MIPLIB] Harald Schilly University lecture scheduling instance 1.256090 2
gen-ip054 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 1.304880 3
vpphard2 [MIPLIB] C. Cardonha Vehicle positioning problem instance. Solved using CPLEX 12.4 in 43987 seconds (May 2012). Solved using Gurobi 5.6.2 in 124 seconds (May 2014).Solved using CPLEX 12.6 in 225 seconds (May 2014). 1.339022 4
timtab1 [MIPLIB] C. Liebchen, R. Möhring Public transport scheduling problem 1.342607 5
MIPLIB Top 5 cryptanalysiskb128n5obj16 [MIPLIB] 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 0.135655 1
fhnw-binpack4-58 [MIPLIB] Simon Felix Feasability-only 3D bin packing with additional constraints 1.530463 160
gfd-schedulen180f7d50m30k18 [MIPLIB] 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 1.706540 425
supportcase4 [MIPLIB] Michael Winkler MIP instances collected from Gurobi forum with unknown application 1.803083 570
neos-3603137-hoteo [MIPLIB] Jeff Linderoth (None provided) 2.086543 791


cryptanalysiskb128n5obj14: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: cryptanalysis
Assigned Model Group Rank/ISS in the MIC: 1 / 0.104

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: cryptanalysis Model group: huefner Model group: lectsched Model group: SiweiSun Model group: polygonpack
Name cryptanalysis huefner lectsched SiweiSun polygonpack
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 / 0.104 2 / 1.656 3 / 1.682 4 / 1.713 5 / 1.738

Model Group Summary

The table below contains summary information for the five most similar model groups to cryptanalysiskb128n5obj14 according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 cryptanalysis 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 0.104449 1
huefner Falk Hueffner The NP-hard Balanced Subgraph problem (variant of MaxCut) encoded as ILPs. Real-world models from two applications from bioinformatics, finding monotone subsystems in gene regulatory networks (http://dx.doi.org/10.1007/s10878-009-9212-2) and finding optimal layouts of tanglegrams (http://dx.doi.org/10.1007/978-3-642-11269-0). 1.656189 2
lectsched Harald Schilly University lecture scheduling model 1.681665 3
SiweiSun 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. 1.712668 4
polygonpack Antonio Frangioni Given a set P of polygons, not necessarily convex, and a rectangle, we want to find the subset S of P with largest possible total area and a position every p in S so that there are no overlaps and they are all included in the rectangle. We allow a small set of rotations (0, 90, 180, 270 degrees) for every polygon. The problem is simplified w.r.t. the real application because the polygons do not have (fully encircled) "holes", which are supposedly filled-in separately, although they can have "bays". Models are saved as .lp. Model LpPackingModel_Dim means that we are trying to pack polygons taken from set ; there are currently 5 different sets, and is 7, 10 or 15. 1.737563 5


Updated August 16, 2019