optimization_algorithms: Dataset containing an example of the performance of different...

In bpcs: Bayesian Paired Comparison Analysis with Stan

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).

bpcs documentation built on Dec. 15, 2020, 5:23 p.m.