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An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables

机译:一种具有混合二元和连续变量的最佳设计应用的一种改进的无衍生优化方法

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Numerous optimal design applications are black-box mixed integer nonlinear optimization problems: with objective function and constraints that are outputs of a black-box simulator involving mixed continuous and integer (discrete) variables. In this paper, we address an optimal design application for bladed disks of turbo-machines in aircraft. We discuss the formulation of an appropriate distance with respect to discrete variables which can deal with the cyclic symmetry property of the system under study. The necklace concept is introduced to characterize similar blade configurations and an adapted distance is proposed for discrete space exploration of a derivative-free optimization method. The results obtained with this method on a simplified industrial application are compared with results of state-of-the-art black-box optimization methods.
机译:许多最佳设计应用是黑盒式混合整数非线性优化问题:具有目标函数和约束,该约束是涉及混合连续和整数(离散)变量的黑盒模拟器的输出。在本文中,我们解决了飞机中涡轮机的叶片圆盘的最佳设计应用。我们讨论了相对于离散变量的适当距离的制定,这可以处理正在研究的系统的循环对称性。引入项链概念以表征类似的刀片配置和适应距离,以实现无衍生物优化方法的离散空间探索。在简化的工业应用中获得了该方法获得的结果与最先进的黑盒优化方法的结果进行了比较。

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