This repository contains the data and code for the paper "Challenges of ELA-based Function Evolution using Genetic Programming" This repository consists of separated folders, which contain the following data: ## Code: This is the main code used to run the GP functions. The main executable is 'main_gp.py', which executes a single run of the GP system (based on the passed-in argument, which is an index from 0-71 in our experiments). The data for the BBOB functions are generated using the 'preliminary' folder and the 'get_ela_preliminary.py' file. ## Data_GP: This contains the full logs from each GP run, separated by target function and dimension. ## data_random_func: This contains the same kind of data but for the Random Function Generator. ## Reproducibility: This contains all code used to analyse and visualize the resulting data. The notebook is structured in the same way as the paper, separated by figure.