@inproceedings{ff4fbbf4888e4ff99e1f8ac0cea361f5,
title = "HJADE: An Efficient Differential Evolution with Complex Nonlinear Population Size",
abstract = "The differential evolution with optional external archive (JADE) algorithm is a competitive improvement based on differential evolution (DE) algorithm, but it tends to converge to local optima. We propose a new enhancement based on JADE, namely HJADE, which incorporates a strategy of regulating the population size using hybrid functions to strike a more favorable balance between exploration and exploitation. We used 30 problems from the IEEE CEC 2017 benchmark set to assess its implementation and compare HJADE with other JADE-based algorithms using statistical tests. The results show that HJADE exhibits superior performance.",
keywords = "Differential Evolution, Meta-heuristic, Optimization, Population size",
author = "Qianyu Zhu and Yifei Yang and Haotian Li and Shibo Dong and Yuki Todo and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023 ; Conference date: 26-08-2023 Through 27-08-2023",
year = "2023",
doi = "10.1109/IHMSC58761.2023.00024",
language = "英語",
series = "Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--71",
booktitle = "Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023",
}