`R/data.R`

`optimization_algorithms.Rd`

Dataset containing an example of the performance of different optimization algorithms against different benchmark functions. This is a reduced version of the dataset presented at the paper: "Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions.". For details on how the data was collected we refer to the paper.

`optimization_algorithms`

This is the expansion of the data where each row contains 1 match only

Algorithm: name of algorithm

Benchmark: name of the benchmark problem

TrueRewardDifference: Difference between the minimum function value obtained by the algorithm and the known global minimum

Ndimensions: Number of dimensions of the benchmark problem

MaxFevalPerDimensions: Maximum allowed budget for the algorithm per dimensions of the benchmark problem

simNumber: id of the simulation. Indicates the repeated measures of each algorithm in each benchmark

Mattos, David Issa, Jan Bosch, and Helena Holmstrom Olsson. Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions. arXiv preprint arXiv:2010.03783 (2020).