Process / pipelineEngineering methods
实验设计优化辅助
实验设计优化辅助(OA-DoE)将结构化的实验计划与数学优化引擎相结合,以定位同时满足多个响应目标的因子设置。分析师不是停留在拟合响应面模型,而是将期望函数、遗传算法或其他优化器应用于拟合模型,以识别所有感兴趣响应的全局或近全局最优值。
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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 Design of Experiments. ScholarGate. https://scholargate.app/zh/experimental-design/optimization-assisted-design-of-experiments
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将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
- Box-Behnken Design实验设计↔ 比较
- 中心复合设计实验设计↔ 比较
- 实验设计实验设计↔ 比较
- 响应面方法 (RSM)实验设计↔ 比较
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Optimization-assisted response surface methodologyMulti-response Design of ExperimentsOptimization-assisted full factorial designOptimization-assisted central composite designMulti-response Response Surface MethodologyResponse Surface Desirability FunctionOptimization-assisted Box-Behnken designMulti-response full factorial design