Process / pipelineEngineering methods
优化辅助响应面方法
优化辅助响应面方法（Optimization-assisted RSM）将二阶响应面模型与数学优化例程相结合——最常见的是Derringer和Suich的期望函数，但也包括遗传算法或基于梯度的求解器——以定位能够同时满足多个质量或性能目标的因子设置。其结果是基于数据的最优工艺或产品条件的推荐，并由拟合到结构化实验设计的多元模型支持。
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来源
- Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. DOI: 10.1080/00224065.1980.11980968 ↗
- Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. ISBN: 978-1118916018
如何引用本页
ScholarGate. (2026, June 3). Optimization-Assisted Response Surface Methodology. ScholarGate. https://scholargate.app/zh/experimental-design/optimization-assisted-response-surface-methodology
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- 响应面方法 (RSM)实验设计↔ compare