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首页> 外文期刊>Advances in Engineering Software >Optimum topological design of negative permeability dielectric metamaterial using a new binary particle swarm algorithm
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Optimum topological design of negative permeability dielectric metamaterial using a new binary particle swarm algorithm

机译:使用新的二进制粒子群算法的负磁导率介电超材料的最佳拓扑设计

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This paper presents a Particle Swarm Optimization-based topology optimization method for the design of negative permeability dielectric metamaterials.As the electromagnetic metamaterials have some physical properties not available in nature, they have attracted a huge scientific research interest for decades. In fact, electromagnetic metamaterials can exhibit simultaneously negative permeability and negative permittivity. The aim of this work is to find an optimal topology of a dielectric metamaterial that achieves negative permeability at a given frequency. A binary Particle Swarm Optimization is developed and applied to a negative permeability dielectric metamaterial topology design problem. The optimization process is achieved using a developed numerical model of the studied metamaterial, which is solved by the Finite Element Method.First, the governing equations and the weak formulation of the electromagnetic problem are presented. Then, the optimization problem to be solved is formulated. The developed binary Particle Swarm Optimization method, and the developed interfacing method are explained. Some numerical examples are presented to demonstrate that the binary Particle Swarm Optimization is adapted to the topology optimization of negative permeability dielectric metamaterials, at given frequencies, to demonstrate the utility and validity of the presented method.
机译:本文提出了一种基于粒子群优化的拓扑优化方法,用于负磁导率介电超材料的设计。由于电磁超材料具有某些自然界中无法获得的物理特性,因此数十年来引起了巨大的科学研究兴趣。实际上,电磁超材料可以同时显示出负磁导率和负介电常数。这项工作的目的是找到在给定频率下实现负磁导率的介电超材料的最佳拓扑。开发了二进制粒子群优化算法,并将其应用于负磁导率介电超材料拓扑设计问题。优化的过程是使用已开发的超材料的数值模型来实现的,并通过有限元方法对其进行求解。首先,给出了电磁问题的控制方程和弱公式。然后,制定要解决的优化问题。解释了开发的二进制粒子群优化方法和开发的接口方法。数值算例表明,在给定的频率下,二元粒子群优化算法适用于负磁导率介电超材料的拓扑优化,证明了该方法的实用性和有效性。

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