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首页> 外文期刊>Magnetics, IEEE Transactions on >Robust Global Optimization of Electromagnetic Devices With Uncertain Design Parameters: Comparison of the Worst Case Optimization Methods and Multiobjective Optimization Approach Using Gradient Index
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Robust Global Optimization of Electromagnetic Devices With Uncertain Design Parameters: Comparison of the Worst Case Optimization Methods and Multiobjective Optimization Approach Using Gradient Index

机译:具有不确定设计参数的电磁设备的鲁棒全局优化:最坏情况优化方法与使用梯度指数的多目标优化方法的比较

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摘要

The uncertainties in design variables are unavoidable in the optimal design of electromagnetic devices, and there is an imperative demand to find a robust design, which is insensitive to the uncertainties and remains within the feasible region of constraints even perturbed by the uncertainties. In this paper, a gradient-based worst case optimization (G-WCO) algorithm is proposed in a limited uncertainty set to increase the numerical efficiency based on the worst case optimization (WCO) algorithm. Through applications to the robust optimal design of TEAM 22, the performances of the proposed G-WCO, conventional WCO, and multiobjective optimization approach using gradient index (GI) are compared.
机译:设计变量的不确定性在电磁设备的最佳设计中不可避免,并且迫切需要找到一种鲁棒的设计,该设计对不确定性不敏感,并且即使在不确定性的干扰下也仍处于约束的可行范围内。本文提出了一种基于梯度的最坏情况优化(G-WCO)算法,该算法在有限的不确定性集合内提高了基于最坏情况优化(WCO)算法的数值效率。通过将其应用于TEAM 22的鲁棒优化设计,比较了所提出的G-WCO,常规WCO和使用梯度指数(GI)的多目标优化方法的性能。

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