Results of Automatic Design of Parameter Adaptation Techniques for Differential Evolution with Genetic Programming

Published: 8 June 2021| Version 1 | DOI: 10.17632/pphds5ypmh.1
Vladimir Stanovov


This dataset contains the results of experiments on generating parameter adaptation techniques for the differential evolution algorithm with genetic programming. The dataset contains the found equations, their visualization, raw results of testing these strategies against Congress on Evolutionary Computation 2021 benchmark functions, as well as the jupyter notebook for results processing.


Steps to reproduce

The dataset comes with the jupyter notebook containing code to perform results post-processing.