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
Contributor:
Vladimir StanovovDescription
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.
Files
Steps to reproduce
The dataset comes with the jupyter notebook containing code to perform results post-processing.
Institutions
Siberian State Aerospace University i F Reshetnev
Categories
Heuristics, Genetic Programming, Differential Evolution