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📌Title:
Advances in Bayesian Optimization with Applications in Aerospace Engineering


📝Abstract
:Optimization requires the quantities of interest that define objective functions and constraints to be evaluated a large number of times. In aerospace engineering, these quantities of interest can be expensive to comont‹ (e.g., numerically solving a set of partial differential equations), leading to a challenging optimization problem. Bayesian optimization (BO) is a class of algorithms for the global optimization of expensive-to-evaluate functions.

🔗Link of this article:
https://doi.org/10.2514/6.2018-1656


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#زنگ_معرفی_مقاله

📌Title:
Advances in Bayesian Optimization with Applications in Aerospace Engineering


📝Abstract
:Optimization requires the quantities of interest that define objective functions and constraints to be evaluated a large number of times. In aerospace engineering, these quantities of interest can be expensive to comont‹ (e.g., numerically solving a set of partial differential equations), leading to a challenging optimization problem. Bayesian optimization (BO) is a class of algorithms for the global optimization of expensive-to-evaluate functions.

🔗Link of this article:
https://doi.org/10.2514/6.2018-1656


🛫
@SSASKNTU

BY انجمن علمی مهندسی هوافضا دانشگاه خواجه نصیرالدین طوسی


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