Results 251 to 260 of about 1,313,206 (306)

Optimum Design of Surface Aerator Using Response Surface Method

Journal of the Korean Society of Visualization, 2010
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Capabilities of stochastic response surface method and response surface method in reliability analysis

Structural Engineering and Mechanics, 2014
The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of ...
Jiang, Shui-Hua, Li, Dian-Qing, Zhou, Chuang-Bing, Zhang, Li-Min   +3 more
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An improvement of the response surface method

Structural Safety, 2011
Abstract The coupling of the Monte Carlo method and the finite element method for the reliability analysis of structures leads often to a prohibitive computational cost. The response surface method is a powerful reliability method that approximates the limit state function with a polynomial expression using the values of the function at specific ...
ALLAIX, DIEGO LORENZO, CARBONE, VINCENZO ILARIO   +1 more
openaire   +4 more sources

Stochastic Trust-Region Response-Surface Method (STRONG)—A New Response-Surface Framework for Simulation Optimization

INFORMS Journal on Computing, 2013
Response surface methodology (RSM) is a widely used method for simulation optimization. Its strategy is to explore small subregions of the decision space in succession instead of attempting to explore the entire decision space in a single attempt. This method is especially suitable for complex stochastic systems where little knowledge is available ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
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Comparison of Stochastic Response Surface Method and Response Surface Method for Structure Reliability Analysis

2009 Second International Conference on Intelligent Computation Technology and Automation, 2009
The Response Surface Method (RSM) is not efficient to solve reliability analysis of complex and computationally high-demanding models. The Stochastic Response Surface Method (SRSM) was proposed recently. This paper adds some mathematics foundation for the SRSM, and compares the SRSM and RSM.
Ke Lin, Haobo Qiu, Liang Gao, Yifei Sun
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“Response Surface” Method in Magnetic Optimization

International Journal of Applied Electromagnetics and Mechanics, 1993
The use of "response surface" method in the sensitivity analysis and optimisation of electromagnetic devices is presented. The algorithm proposed is based on the first and second order polynomial least square fitting of the objective function of the optimisation.
Manella, A, NERVI, MARIO, Repetto, M.
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Experimental Optimization with Response Surface Methods

2021
Response surface methods provide a principled way of finding experimental conditions that maximize a response. They are based on sequential experimentation where we alternate between locally exploring the changes in response around a given condition, and determining a set of conditions that likely yields increasing response values.
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An experimental methodology for response surface optimization methods

Journal of Global Optimization, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel J. Lizotte, Russell Greiner, Dale Schuurmans   +2 more
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Stochastic programming methods in the response surface methodology

Computational Statistics & Data Analysis, 2005
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José A. Díaz-García, Rogelio Ramos-Quiroga, Enrique Cabrera-Vicencio   +2 more
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