R/data.R

In ASML: Algorithm Portfolio Selection with Machine Learning

#' Branching point selection in Polynomial Optimization
#'
#' 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 1 hour.
#'
#' @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.
"branching"

#' Branching point selection in Polynomial Optimization
#'
#' 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.
#'
#' @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.
"branchingsmall"