Automated Wire Antennas Design using Dynamic Dominance Evolutionary Algorithm

2009 NASA/ESA Conference on Adaptive Hardware and Systems Pub Date : 2009-07-29 DOI:10.1109/AHS.2009.7

Yang Yang, Sanyou Zeng, Haoqiu Long, Zu Yan, Danpin Yu, Lishan Kang

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引用次数: 2

Abstract

Antenna design problems are complex multi-objective optimization problems. It is difficult to solve such problems using traditional methods. This paper creates a new model to solve antenna problems. In this new model, antennas' requirements are reflected not only in problems' constraints, but also in their objectives. It means feasible solutions are solutions that satisfy antennas' requirements. So if we find out a feasible solution, antenna design problems would have been solved. After that, with the evolution going on, feasible solution would be optimized, and global optimal solution would be found out. This paper uses a new algorithm, dynamic dominances evolutionary algorithm (DDEA), to solve antenna problems. DDEA has been tested by 22 benchmark problems. DDEA can consistently find the global optimum of all test problems with success rate 100%, while any other algorithm can't achieve such high success rate. This paper takes lower earth orbit ST5 antenna designed problem as a real world test problem. The experimental result shows: using this new model and DDEA, ST5 antenna design problem can be solved effectively. In addition the simulation result shows our evolved antennas are quite competitive with NASA's.

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基于动态优势进化算法的自动线天线设计

天线设计问题是一个复杂的多目标优化问题。用传统方法很难解决这类问题。本文建立了一个解决天线问题的新模型。在这个新模型中，天线的需求不仅反映在问题的约束条件中，而且反映在它们的目标中。可行方案是指满足天线需求的方案。因此，如果我们找到一个可行的解决方案，天线设计问题将得到解决。然后，随着进化的进行，对可行解进行优化，最终求出全局最优解。本文采用动态优势进化算法(DDEA)来解决天线问题。DDEA已经通过22个基准问题进行了测试。DDEA可以始终如一地找到所有测试问题的全局最优，成功率为100%，而其他任何算法都无法达到如此高的成功率。本文将近地轨道ST5天线设计问题作为实际测试问题。实验结果表明:利用该模型和DDEA，可以有效地解决ST5天线的设计问题。此外，仿真结果表明，我们的改进天线与NASA的相当有竞争力。

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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2009 NASA/ESA Conference on Adaptive Hardware and Systems

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