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Antenna design using dynamic multi-objective evolutionary algorithm

机译:基于动态多目标进化算法的天线设计

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摘要

To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained optimisation problem (COP). Then a framework is introduced for solving the COP. The framework converts a COP into an equivalent dynamic constrained multi-objective optimisation problem (DCMOP). A dynamic constrained multi-objective evolutionary algorithm is applied to address the transformed DCMOP, which means the COP as well as the antenna design problem can be solved. Then it is applied to design three classes of antennas: a wire antenna, a patch antenna and an antenna array. Obtained results of these three kinds of antenna suggest that the proposed methods can well satisfy the antenna design requirements.
机译:为了增强天线设计的鲁棒性和稳定性,提出了一种新颖的方法,用于将天线设计问题建模为约束优化问题(COP)。然后介绍了解决COP的框架。该框架将COP转换为等效的动态约束多目标优化问题(DCMOP)。应用动态约束多目标进化算法解决了变换后的DCMOP问题,解决了COP以及天线设计问题。然后将其应用于设计三类天线:有线天线,贴片天线和天线阵列。这三种天线的结果表明,所提出的方法可以很好地满足天线设计要求。

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