基于动态约束多目标优化进化算法的椭圆槽微带贴片天线设计

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Cognitive Informatics and Natural Intelligence Pub Date : 2021-10-01 DOI:10.4018/ijcini.20211001.oa30

Rangzhong Wu, Caie Hu, Z. Zeng, Sanyou Zeng, Jawdat S. Alkasassbeh

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引用次数: 0

摘要

大多数进化优化算法已经用于天线设计，并在提高天线性能方面显示出良好的效果。然而，对于现实世界中的许多天线优化问题，由于具有高度约束和多模态的难度而难以解决。这些困难阻碍了天线设计的发展。本文将存在这些困难的椭圆槽微带贴片天线设计建模为约束优化问题。为了解决这一问题，采用了动态约束多目标优化进化算法(DCMOEA)。实验结果表明，得到了满足设计要求的最优天线，并且发现辐射贴片应该是一个完整的椭圆，而不是两个椭圆相减。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Elliptical Slot Microstrip Patch Antenna Design Based on a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm

Most evolutionary optimization algorithms have already been used for antenna design and shown promising results on improving the performance of the antenna. However, for many real-world antenna optimization problems, they are difficult to solve in that there are highly constrained and multimodal difficulty. These difficulties impede the development of antenna design. In this paper, an elliptical slot microstrip patch antenna design with these difficulties is modeled as a constrained optimization problem (COP). To address the problem, a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm(DCMOEA) is used. The experimental results show that the optimum antenna with satisfying the design requirement is obtained, and as well as we find the radiation patch should be a whole ellipse instead of subtracting with two ellipses.

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来源期刊

International Journal of Cognitive Informatics and Natural Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

11.10%

发文量

期刊介绍： The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) encourages submissions that transcends disciplinary boundaries, and is devoted to rapid publication of high quality papers. The themes of IJCINI are natural intelligence, autonomic computing, and neuroinformatics. IJCINI is expected to provide the first forum and platform in the world for researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications.