Jun-Yi Gou

Differential evolution with fitness-based mutation strategy and diversity enhancement mechanism for numerical optimization

The experimental results show that FMDM-DE demonstrates superiority or strong competitiveness over seven state-of-the-art algorithms in terms of mean squared error, standard deviation, and optimization accuracy, indicating its excellent robustness and optimization capability.