branching

<p>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.</p>

datasets

A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).

Brais González-Rodríguez

ASML

Algorithm Portfolio Selection with Machine Learning

Ignacio Gómez-Casares

Beatriz Pateiro-López

Julio González-Díaz

María Caseiro-Arias

Antonio Fariña-Elorza

Manuel Timiraos-López

branching function

<p>A list with x (features) and y (KPIs) data.frames.</p>

Format

Branching point selection in Polynomial Optimization — branching

Branching point selection in Polynomial Optimization

branching: Branching point selection in Polynomial Optimization

Description

Usage

Arguments

Format