Multi-round Surrogate-based Optimization for Benchmark Aerodynamic Design Problems

Yu Zhang; Zhonghua Han; Laixiang Shi; Wenping Song

doi:10.2514/6.2016-1545

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JOURNAL ARTICLE

Multi-round Surrogate-based Optimization for Benchmark Aerodynamic Design Problems

Yu Zhang Zhonghua Han Laixiang Shi Wenping Song

Year: 2016 Journal: 54th AIAA Aerospace Sciences Meeting

DOI: 10.2514/6.2016-1545

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Keywords:

Aerodynamics Benchmark (surveying) Surrogate model Computer science Mathematical optimization Engineering Aerospace engineering Mathematics Machine learning Geology

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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

Turbomachinery Performance and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Multi-round Surrogate-based Optimization for Benchmark Aerodynamic Design Problems

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