Multi-fidelity Surrogate Assisted Efficient Global Optimization

Qi Zhou; Min Zhao; Jiexiang Hu; Mengying Ma

doi:10.1007/978-981-19-7210-2_5

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Multi-fidelity Surrogate Assisted Efficient Global Optimization

Qi Zhou Min Zhao Jiexiang Hu Mengying Ma

Year: 2022 Engineering Applications of Computational Methods Pages: 213-247 Publisher: Springer Nature

DOI: 10.1007/978-981-19-7210-2_5

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Keywords:

Surrogate model Fidelity Computer science Sample (material) Process (computing) Artificial intelligence Mathematical optimization Machine learning Mathematics

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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 Efficient Global Optimization

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