branchingsmall: Branching point selection in Polynomial Optimization
In ASML: Algorithm Portfolio Selection with Machine Learning
branchingsmall R Documentation
Branching point selection in Polynomial Optimization
Description
Data from Ghaddar et al. (2023) used to select among several branching criteria for an RLT-based algorithm. Includes features for the instances and KPI values for the different branching criteria for executions lasting 10 minutes.
Usage
branchingsmall
Format
A list with x (features) and y (KPIs) data.frames.
Source
Ghaddar, B., Gómez-Casares, I., González-Díaz, J., González-Rodríguez, B., Pateiro-López, B., & Rodríguez-Ballesteros, S. (2023). Learning for Spatial Branching: An Algorithm Selection Approach. INFORMS Journal on Computing.
ASML documentation built on April 3, 2025, 8:47 p.m.
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| branchingsmall | R Documentation |
Branching point selection in Polynomial Optimization
Description
Data from Ghaddar et al. (2023) used to select among several branching criteria for an RLT-based algorithm. Includes features for the instances and KPI values for the different branching criteria for executions lasting 10 minutes.
Usage
branchingsmall
Format
A list with x (features) and y (KPIs) data.frames.
Source
Ghaddar, B., Gómez-Casares, I., González-Díaz, J., González-Rodríguez, B., Pateiro-López, B., & Rodríguez-Ballesteros, S. (2023). Learning for Spatial Branching: An Algorithm Selection Approach. INFORMS Journal on Computing.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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