Bayesian Optimization of Multiobjective Functions Using Multiple Information Sources
Author:
Affiliation:
1. Texas A&M University, College Station, Texas 77843
Funder
National Science Foundation
AFOSR MURI
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/am-pdf/10.2514/1.J059803
Reference54 articles.
1. Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials
2. Multi-Fidelity Multi-Objective Efficient Global Optimization Applied to Airfoil Design Problems
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4. Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates
5. Applications of Multi-Objective Evolutionary Algorithms
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