A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems

@article{Yi2014AND,
  title={A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems},
  author={Wenchao Yi and Liang Gao and Xinyu Li and Yinzhi Zhou},
  journal={Applied Intelligence},
  year={2014},
  volume={42},
  pages={642-660}
}
The differential evolution (DE) algorithm is a notably powerful evolutionary algorithm that has been applied in many areas. Therefore, the question of how to improve the algorithm’s performance has attracted considerable attention from researchers. The mutation operator largely impacts the performance of the DE algorithm The control parameters also have a significant influence on the performance. However, it is not an easy task to set a suitable control parameter for DE. One good method is to… CONTINUE READING
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