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优化辅助田口方法

优化辅助田口方法通过将其正交表实验与次级优化算法(如灰色关联分析、遗传算法或粒子群优化)相结合,扩展了田口稳健设计框架,以同时处理多个响应变量或导航比纯田口表能有效探索的更大设计空间。其结果是一种结构化、数据高效的实验策略,可同时产生稳健的参数设置和全局近优解。

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来源

  1. Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall. ISBN: 978-0137451678
  2. Nalbant, M., Gokkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & Design, 28(4), 1379-1385. DOI: 10.1016/j.matdes.2006.01.008

如何引用本页

ScholarGate. (2026, June 3). Optimization-assisted Taguchi Method. ScholarGate. https://scholargate.app/zh/experimental-design/optimization-assisted-taguchi-method

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被引用于

ScholarGateOptimization-assisted Taguchi method (Optimization-assisted Taguchi Method). 于 2026-06-15 检索自 https://scholargate.app/zh/experimental-design/optimization-assisted-taguchi-method · 数据集: https://doi.org/10.5281/zenodo.20539026