The multi-level, multi-disciplinary and multi-fidelity optimization framework developed at Bombardier Aviation has shown great results to explore efficient and competitive aircraft configurations. This optimization framework has been developed within the Isight software, the latter offers a set of ready-to-use optimizers. Unfortunately, the computational effort required by the Isight optimizers can be prohibitive with respect to the requirements of an industrial context. In this paper, a constrained Bayesian optimization optimizer, namely the super efficient global optimization with mixture of experts, is used to reduce the optimization computational effort. The obtained results showed significant improvements compared to two of the popular Isight optimizers. The capabilities of the tested constrained Bayesian optimization solver are demonstrated on Bombardier research aircraft configuration study cases.

中文翻译：

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贝叶斯优化在飞机设计工业 MDO 框架中的有效应用

庞巴迪航空开发的多层次、多学科和多保真优化框架在探索高效和有竞争力的飞机配置方面取得了巨大成果。这个优化框架是在 Isight 软件中开发的，后者提供了一组现成的优化器。不幸的是，对于工业环境的要求，Isight 优化器所需的计算工作可能会令人望而却步。在本文中，约束贝叶斯优化优化器，即混合专家的超高效全局优化，用于减少优化计算工作量。与两个流行的 Isight 优化器相比，获得的结果显示出显着的改进。