基于多层次克里金模型的多保真度预期改进，用于高效空气动力学设计优化

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-02-12 DOI:10.1080/0305215x.2024.2310182

Yu Zhang, Zhong-hua Han, Wen-ping Song

引用次数: 0

摘要

为了减轻空气动力学优化设计的计算负担，在对多级分层 kr... 的误差分析的基础上，开发了一种多保真度预期改进（MFEI）方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-fidelity expected improvement based on multi-level hierarchical kriging model for efficient aerodynamic design optimization

To reduce the computational burden of aerodynamic design optimization, a multi-fidelity expected improvement (MFEI) method is developed, based on the error analysis of a multi-level hierarchical kr...

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来源期刊

Engineering Optimization 管理科学-工程：综合

CiteScore

5.90

自引率

7.40%

发文量

审稿时长

3.5 months

期刊介绍： Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.