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A stochastic linear neural network-based differential evolution algorithm for optimizing reluctance actuator

delete2025-07-15
delete0
PRE
AI
Y
Yunlang Xu
D
D Pan
L
Longbin Jiang
H
Haibo Zhou
DOI：10.1016/j.advengsoft.2025.103983delete
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摘要

摘要

En 中文
• 提出了一种适用于磁阻执行器的优化设计方法，以实现开环稳定的重力补偿。 • 提出了一种包含LNNC和SDOL的随机线性神经网络（SLNN）策略。 • 通过SLNN学习策略和自适应边界对DE方法进行了改进。 • 通过在CEC 2014上的测试实验验证了DE-SLNN的有效性。

期刊

Advances in Engineering Software 封面图
Advances in Engineering Software
IF:
5.7
论文数:
3.4K
被引数:
1.2W

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