Robust Airfoil Design in the Context of Multi-objective Optimization

Lisa Kusch; Nicolas R. Gauger

doi:10.1007/978-3-319-89988-6_23

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Robust Airfoil Design in the Context of Multi-objective Optimization

Lisa Kusch Nicolas R. Gauger

Year: 2018 Computational methods in applied sciences Pages: 391-403 Publisher: Springer Nature (Netherlands)

DOI: 10.1007/978-3-319-89988-6_23

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Keywords:

Mathematical optimization Robustness (evolution) Airfoil Robust optimization Mathematics Aerodynamics Optimization problem Polynomial chaos Multi-objective optimization Computer science Monte Carlo method Engineering

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Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Computational Fluid Dynamics and Aerodynamics

Physical Sciences → Engineering → Computational Mechanics

Robust Airfoil Design in the Context of Multi-objective Optimization

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