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

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.

本数据集收录了针对遗传编程中的微分进化算法参数自适应技术进行实验的结果。数据集包含了所发现的方程及其可视化，以及这些策略与2021年进化计算国会（Congress on Evolutionary Computation）基准函数测试的原始结果，还包括用于结果处理的Jupyter笔记本。