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An adaptive multi-modal optimization algorithm for simulation-based design of power-electronic circuits

机译:基于仿真的电力电子电路自适应多模态优化算法

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This article introduces a non-gradient optimization algorithm for the simulation-based design of nonlinear power-electronic circuits where multiple local minima may exist. The algorithm steers a simultaneous search for multiple optima by generating a multi-resolution mesh in the search space. It adaptively increases its resolution only in regions where the presence of local optima is likely, thus offering significant savings in the number of (simulation-based) objective-function evaluations. The algorithm's relatively low computational intensity, its independence of local gradient information and its capability to discover multiple local minima simultaneously make it appealing for the optimization of expensive black-box functions. The article shows an implementation of the algorithm in MATLAB and links it to the PSCAD/EMTDC transient simulation program. Examples of the application of the proposed algorithm for both analytical and simulation-based objective functions are included.
机译:本文介绍了一种非梯度优化算法,用于基于非线性设计的非线性电力电子电路设计,其中可能存在多个局部极小值。该算法通过在搜索空间中生成多分辨率网格,引导同时搜索多个最优值。它仅在可能存在局部最优的区域中自适应地提高分辨率,从而大大节省了(基于模拟的)目标函数评估的次数。该算法相对较低的计算强度,局部梯度信息的独立性以及同时发现多个局部最小值的能力,使其对昂贵的黑盒函数的优化具有吸引力。本文展示了该算法在MATLAB中的实现,并将其链接到PSCAD / EMTDC瞬态仿真程序。包括所提出的算法在基于分析和基于仿真的目标函数中的应用示例。

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