optimization_algorithms {bpcs} | R Documentation |

## 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.

### Description

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.

### Usage

optimization_algorithms

### Format

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

### Source

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).

[Package

*bpcs* version 1.0.0

Index]