optimization_algorithms

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.

data

Models for the analysis of paired comparison data using Stan. The models include Bayesian versions of the Bradley-Terry model, including random effects (1 level), generalized model for predictors, order effect (home advantage) and the variations for the Davidson (1970) model to handle ties. Additionally, we provide a number of functions to facilitate inference and obtaining results with these models. References: Bradley and Terry (1952) <doi:10.2307/2334029>; Davidson (1970) <doi:10.1080/01621459.1970.10481082>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

David Issa Mattos

bpcs

Bayesian Paired Comparison Analysis with Stan

Erika Martins Silva Ramos

optimization_algorithms function

This is the expansion of the data where each row contains 1 match only<ul>
<li>Algorithm: name of algorithm</li>
<li>Benchmark: name of the benchmark problem</li>
<li>TrueRewardDifference: Difference between the minimum function value obtained by the algorithm and the known global minimum</li>
<li>Ndimensions: Number of dimensions of the benchmark problem</li>
<li>MaxFevalPerDimensions: Maximum allowed budget for the algorithm per dimensions of the benchmark problem</li>
<li>simNumber: id of the simulation. Indicates the repeated measures of each algorithm in each benchmark</li>
</ul>

Format

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

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

Usage

Arguments

Format