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Topological Optimization and Simulated Annealing

机译:拓扑优化和模拟退火

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In this paper, a new non-gradient-based topology optimization (TO) method proposed. Simulated annealing (SA) with crystallization factor used to generate new solutions. During this process, the newly generated solutions evaluated based on the SA concept. A density filter also applied to remove the discontinuity of shapes. The innovation of this method is applying the history of accepted or rejected solutions by the crystallization factor. Results of compliance minimization of cantilever and MBB-beams from the proposed method compared with the results of gradient-based methods. The main advantage of the proposed method is the improvement of convergence of the results as well as no need for the derivative of the objective function.
机译:本文提出了一种新的非梯度基拓扑优化(To)方法。 模拟退火(SA)具有用于产生新溶液的结晶因子。 在此过程中,新生成的解决方案基于SA概念进行评估。 密度滤波器还应用以消除形状的不连续性。 这种方法的创新是通过结晶因子应用接受或拒绝的解决方案的历史。 与基于梯度的方法的结果相比,悬臂和MBB梁的顺从最小化结果。 所提出的方法的主要优点是提高结果的收敛以及无需目标函数的衍生物。

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