Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates

Volume: 54, Issue: 2, Pages: 531 - 541
Published: Feb 1, 2016
Abstract
A computationally efficient procedure for multiobjective design optimization with variable-fidelity models and response surface surrogates is presented. The proposed approach uses the multiobjective evolutionary algorithm that works with a fast surrogate model, obtained with kriging interpolation of the low-fidelity model data enhanced by space-mapping correction exploiting a few high-fidelity training points. The initial Pareto front generated...
Paper Details
Title
Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates
Published Date
Feb 1, 2016
Volume
54
Issue
2
Pages
531 - 541
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