Sensitivity analysis using the Metamodel of Optimal Prognosis Thomas Most T Most,J Will 被引量: 0发表: 2012年 Probabilistic Modelling of Sensitivity in Fire Simulations The results of the sensitivity analyses were evaluated using the Metamodel of Optimal Prognosis which provides a measure of the ...
A variance-based global sensitivity analysis procedure was built by metamodel of prognosis, and optimization results were compared between genetic algorithm and particle swarm optimization. The simulation results illustrate that heat transfer coefficient per unit pressure drop (K/Delta P) increases when ...
presented at the Weimar Optimization and Stochastic Days 2011 Source: www.dynardo.de/en/librarySensitivity analysis using the Metamodel of Optimal Prognosis 来自 core.ac.uk 喜欢 0 阅读量: 21 作者:T Most,J Will,T Most,J Will 摘要: Optimization and robustness analysis have become important tools...
Sensitivity analysis and Design of Experiments (DOE) are conducted to establish a metamodel with a high coefficient of prognosis value, approximating the finite element model. A multi-objective evolutionary algorithm is applied to optimize the metamodel, obtaining the Pareto optimal solution set. The...
Figure 10shows the Excel metamodel solver for turbine layout calculation using optiSLang and Python script. A metamodel solver (also called Metamodel of Optimal Prognosis (MOP) Solver) and a CoP Matrix for optimal turbine placement were created for use in Excel. The two main features were as ...
Sensitivity analysis using the Metamodel of Optimal Prognosis. In Proceedings of the Weimar Optimization and Stochastic Days 8, Weimar, Germany, 24–25 November 2011; pp. 24–40. [Google Scholar] Niersmann, A. Modellbasierte Fahrwerkauslegung und -Optimierung. Ph.D. Thesis, Technische ...