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A chaotic arithmetic optimization algorithm with Cauchy perturbation and differential evolution for engineering design problems

delete2025-07-27
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OA
AI
刘翼玮 封面图
刘翼玮 (Yiwei Liu) *
Y
Yinggan Tang
华
华长春 (Changchun Hua)
DOI：10.1038/s41598-025-13539-6delete
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摘要

摘要

En 中文
尽管算术优化算法（AOA）展现出有前景的性能，但它容易在解决高维问题时出现早熟收敛和可扩展性差的问题。为应对这些挑战，我们提出了混沌微分算术优化算法（CDAOA），该算法结合了改进的 Tent 混沌映射用于初始化多样化种群、Cauchy 扰动用于增强探索，以及带有 Lévy 飞行的微分进化用于强化开发。CDAOA 在 16 个经典函数、CEC 2019 和 2021 测试套件以及五个实际工程问题上进行了基准测试。结果表明，CDAOA 在收敛速度和解决方案质量方面，相较于 AOA 和多种当前最优算法表现出更优越的性能。
Keyword:
Arithmetic optimization algorithm
Chaotic mapping
Cauchy perturbation
Differential evolution
Lévy flight
Engineering application

期刊

Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
27.9W
被引数:
83.5W

机构

S
School of Electrical Engineering
学者数:
537
论文数: 243
被引数: 0
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