Global optimization with expensive black-box model based on hybrid-criterion adaptive radial basis f

来源 :Asian Congress of Structural and Multidisciplinary Optimizat | 被引量 : 0次 | 上传用户:naicha125
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  With the development of theory and computing technology,simulations with high-fidelity model are available.However,when it comes to finite element analysis (FEA) and computational fluid mechanicals (CFD),in which a single simulation may cost several hours,the time cost of the global optimization is unbearable.Moreover,the traditional gradient-based optimization algorithm,such as sequential quadratic programing (SQP) is fast but may lose the global optimum,while the global algorithm,such as genetic algorithm (GA),is too expensive,due to the thousands of high-fidelity model evaluations.
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