Multi-fidelity Surrogate Assisted Robust Design Optimization

Qi Zhou; Min Zhao; Jiexiang Hu; Mengying Ma

doi:10.1007/978-981-19-7210-2_7

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Multi-fidelity Surrogate Assisted Robust Design Optimization

Qi Zhou Min Zhao Jiexiang Hu Mengying Ma

Year: 2022 Engineering Applications of Computational Methods Pages: 279-333 Publisher: Springer Nature

DOI: 10.1007/978-981-19-7210-2_7

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Keywords:

Engineering optimization Sensitivity (control systems) Robust optimization Computer science Key (lock) Fidelity Multidisciplinary design optimization Surrogate model Product design Mathematical optimization Product (mathematics) Optimization problem Reliability engineering Engineering Mathematics Machine learning Algorithm

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Multi-fidelity Surrogate Assisted Robust Design Optimization

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