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seqsolve
Type: | Model Group |
Submitter: | Irv Lustig |
Description: | The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file. |
Parent Model Group (seqsolve)
All other model groups below were be compared against this "query" model group.
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 | seqsolve1 | seqsolve3short4288excess384 | seqsolve2short4288 |
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 | radiation | n37 | sp_product | ab | nus-prxy | |
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 / 0.511 | 2 / 0.591 | 3 / 0.793 | 4 / 0.794 | 5 / 0.829 |
Model Group Summary
The table below contains summary information for seqsolve, and for the five most similar model groups to seqsolve according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Model Group | seqsolve | Irv Lustig | The 3 problems in this group (seqsolve1-seqsolve3) represent a hierarchical optimization process, which is derived from a customer problem for assigning people to sites into blocks of time on days of the week. The specialty of this submission is that the best known solution for seqsolveX can be used as a MIP start for seqsolveX+1. For a description of the connections between the problems, please refer to the README.txt contained in the model data for this submission, which also includes MIP start files and a Gurobi log file. | 0.000000 | - |
MIC Top 5 | 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 | 0.510762 | 1 |
n37 | J. Aronson | Fixed charge transportation problem | 0.591212 | 2 | |
sp_product | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.793490 | 3 | |
ab | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.794218 | 4 | |
nus-prxy | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.828985 | 5 |