A Parallel Infilling Strategy Based on Multimodal Function Optimization for Surrogate Model

来源 :中国计算力学大会2018暨国际华人计算力学大会2018 | 被引量 : 0次 | 上传用户:sunfor
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  In engineering optimization problems,the number of function evaluations is severely limited by computational cost.Since these problems pose a special challenge to the field of global optimization,the surrogate-based approach for analysis and optimization is an effective way to reduce the burden.During the optimization process,surrogates are rebuilt based on infill criteria which is usually a complex multimodal function.
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