方法对比

	混合响应曲面法	中心复合设计
领域	实验设计	实验设计
方法族	Process / pipeline	Process / pipeline
起源年份	1990s–2000s (systematic hybrid applications)	1951
提出者	Box & Wilson (RSM foundation, 1951); hybrid extensions by various authors from the 1990s onward	George E. P. Box and K. B. Wilson
类型	Optimization methodology	Response surface experimental design
开创性文献	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: 978-1118916032	Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45.
别名	Hybrid RSM, RSM-hybrid optimization, combined RSM, meta-model hybrid optimization	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
相关	5	3
摘要	Hybrid Response Surface Methodology (Hybrid RSM) couples classical response surface designs — which fit low-order polynomial approximations of a system response — with a secondary optimizer such as a genetic algorithm, particle swarm, or artificial neural network. The combination overcomes RSM's limitation of assuming smooth, near-quadratic response landscapes by letting the surrogate model be explored globally, making it widely used in engineering process optimization, product design, and simulation-based studies.	Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing.