Digital Artifacts for 'Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming' (WCCI 2024)

The code implements the main experiments, parameter study, and analytical script of the paper at IEEE WCCI 2024, named as "Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming" by Yifan He and Claus Aranha.

Please run the code with following steps and feel free to contact at yifanhe@zufe.edu.cn or heyif@outlook.com if you have any problems.

The `evocomp` folder contains source code of the framework that evolves the functions.

- `evocomp/comp/` provides code of GP that evolves functions, including GP algorithms, samplers that select solutions from a set, and metrics such as wasserstain distance.
- `evocomp/evo/` provides code of algorithms to compare, such as CMA-ES and SHADE.

The `exp_map` folder contains the scripts used in the experiments in CEC 2024.