مقایسهٔ روش‌ها

	روش سطح پاسخ ترکیبی	طراحی ترکیبی مرکزی
حوزه	طراحی آزمایش	طراحی آزمایش
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1990s–2000s (systematic hybrid applications)	1951
پدیدآور	Box & Wilson (RSM foundation, 1951); hybrid extensions by various authors from the 1990s onward	George E. P. Box and K. B. Wilson
نوع	Optimization methodology	Response surface experimental design
منبع بنیادین	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.
نام‌های دیگر	Hybrid RSM, RSM-hybrid optimization, combined RSM, meta-model hybrid optimization	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
مرتبط	5	3
خلاصه	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.