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Particle swarm optimization-based algorithms for solving inverse problems of designing thermal cloaking and shielding devices

机译:基于粒子群优化的算法,用于解决热隐身和屏蔽设备设计的反问题

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摘要

Inverse problems associated with designing cylindrical thermal layered shielding and cloaking shells are studied. Using the optimization method these inverse problems are reduced to corresponding control problems. Thermal conductivities of the shell layers play the role of passive controls. A numerical algorithm based on the particle swarm optimization is proposed and the results of numerical experiments are discussed. Important properties of optimal solutions are established. Based on these properties simple design rules are formulated allowing to design cloaking and shielding shells which possess the best cloaking or shielding performance in addition to easy manufacturability. (C) 2019 Elsevier Ltd. All rights reserved.
机译:研究了与设计圆柱形热分层屏蔽和隐身壳相关的反问题。使用优化方法将这些反问题简化为相应的控制问题。壳层的热导率起着被动控制的作用。提出了一种基于粒子群算法的数值算法,并讨论了数值实验的结果。建立了最佳解决方案的重要属性。基于这些特性,制定了简单的设计规则,从而可以设计具有易制造性之外还具有最佳掩盖或屏蔽性能的掩盖和屏蔽壳。 (C)2019 Elsevier Ltd.保留所有权利。

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