Surrogate-Based Optimization Applied to Benchmark Aerodynamic Design Problems

Yu Zhang; Zhonghua Han; Leifur Leifsson

doi:10.2514/6.2017-4367

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JOURNAL ARTICLE

Surrogate-Based Optimization Applied to Benchmark Aerodynamic Design Problems

Yu Zhang Zhonghua Han Leifur Leifsson

Year: 2017 Journal: 35th AIAA Applied Aerodynamics Conference

DOI: 10.2514/6.2017-4367

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Keywords:

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

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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

Surrogate-Based Optimization Applied to Benchmark Aerodynamic Design Problems

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