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Response surface methodology with prediction uncertainty : a multi-objective optimisation approach

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : Response surface methodology with prediction uncertainty : a multi-objective optimisation approach
นักวิจัย : Chi, Guoyi , Hu, Shuangquan , Yang, Yanhui , Chen, Tao
คำค้น : -
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2554
อ้างอิง : Chi, G., Hu, S., Yang, Y.,& Chen, T. (2012). Response surface methodology with prediction uncertainty: A multi-objective optimisation approach. Chemical Engineering Research and Design, 90(9), 1235-1244. , 0263-8762 , http://hdl.handle.net/10220/12939 , http://dx.doi.org/10.1016/j.cherd.2011.12.012
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Chemical engineering research and design
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

In the field of response surface methodology (RSM), the prediction uncertainty of the empirical model needs to be considered for effective process optimisation. Current methods combine the prediction mean and uncertainty through certain weighting strategies, either explicitly or implicitly, to form a single objective function for optimisation. This paper proposes to address this problem under the multi-objective optimisation framework. Overall, the method iterates through initial experimental design, empirical modelling and model-based optimisation to allocate promising experiments for the next iteration. Specifically, the Gaussian process regression is adopted as the empirical model due to its demonstrated prediction accuracy and reliable quantification of prediction uncertainty in the literature. The non-dominated sorting genetic algorithm II (NSGA-II) is used to search for Pareto points that are further clustered to give experimental points to be conducted in the next iteration. The application study, on the optimisation of a catalytic epoxidation process, demonstrates that the proposed method is a powerful tool to aid the development of chemical and potentially other processes.

บรรณานุกรม :
Chi, Guoyi , Hu, Shuangquan , Yang, Yanhui , Chen, Tao . (2554). Response surface methodology with prediction uncertainty : a multi-objective optimisation approach.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Chi, Guoyi , Hu, Shuangquan , Yang, Yanhui , Chen, Tao . 2554. "Response surface methodology with prediction uncertainty : a multi-objective optimisation approach".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Chi, Guoyi , Hu, Shuangquan , Yang, Yanhui , Chen, Tao . "Response surface methodology with prediction uncertainty : a multi-objective optimisation approach."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2554. Print.
Chi, Guoyi , Hu, Shuangquan , Yang, Yanhui , Chen, Tao . Response surface methodology with prediction uncertainty : a multi-objective optimisation approach. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2554.