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CMA-ES-based structural topology optimization using a level set boundary expression-Application to optical and carpet cloaks

机译:使用水平集边界表达式的基于CMA-ES的结构拓扑优化-在光学和地毯披风中的应用

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In this paper, we propose a topology optimization method based on the covariance matrix adaptation evolution strategy (CMAES) as a method for solving multimodal structural optimization problems. CMA-ES optimizes level set functions as design variables to minimize the fitness value that is regularized to avoid the ill-posedness of topology optimization using a perimeter constraint. Explicit boundaries between the material and void are obtained using the iso-surface of linearly interpolated level set functions. To show the effectiveness of the proposed method for multimodal structural optimization problems, topology optimization for optical and carpet cloaks is numerically demonstrated. The proposed computational strategy is robust to the settings of the initial configurations, even if the topology optimization problems have multimodal distributions of solutions that include many local minima with insufficient performance, and stably improves the regularized fitness value. The obtained optimal configurations have good performance, and we can obtain them without the trial and error of seeking appropriate initial configurations and adapting strategy parameters. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文提出了一种基于协方差矩阵自适应演化策略(CMAES)的拓扑优化方法,作为一种解决多峰结构优化问题的方法。 CMA-ES优化了水平集功能作为设计变量,以使适应度值最小化,该适应度值已规整以避免使用边界约束避免拓扑优化的不适定性。使用线性插值能级函数的等值面可以获取材料和空隙之间的明确边界。为了显示所提出的方法对多峰结构优化问题的有效性,对光学和地毯披风的拓扑优化进行了数值验证。所提出的计算策略对于初始配置的设置是鲁棒的,即使拓扑优化问题具有多峰分布的解决方案,其中包括许多局部最小值而性能不足,并且可以稳定地提高正则适应度值。所获得的最佳配置具有良好的性能,我们无需寻求适当的初始配置和调整策略参数的反复试验即可获得它们。 (C)2018 Elsevier B.V.保留所有权利。

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