Central Force Optimization with Gravity < 0, Elitism, and Dynamic Threshold Optimization: An Antenna Application, 6-Element Yagi-Uda Arrays

R. Formato
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Abstract

This paper investigates the effect of adding three extensions to Central Force Optimization when it is used as the Global Search and Optimization method for the design and optimization of 6-elementYagi-Uda arrays. Those extensions are Negative Gravity, Elitism, and Dynamic Threshold Optimization. The basic CFO heuristic does not include any of these, but adding them substantially improves the algorithm’s performance. This paper extends the work reported in a previous paper that considered only negative gravity and which showed a significant performance improvement over a range of optimized arrays. Still better results are obtained by adding to the mix Elitism and DTO. An overall improvement in best fitness of 19.16% is achieved by doing so. While the work reported here was limited to the design/optimization of 6element Yagis, the reasonable inference based on these data is that any antenna design/optimization problem, indeed any Global Search and Optimization problem, antenna or not, utilizing Central Force Optimization as the Global Search and Optimization engine will benefit by including all three extensions, probably substantially.
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重力< 0的中心力优化,精英主义和动态阈值优化:天线应用,六元Yagi-Uda阵列
本文研究了将中心力优化作为六元yagi - uda阵列设计优化的全局搜索优化方法时,增加三个扩展的效果。这些扩展是负重力,精英主义和动态阈值优化。基本的CFO启发式不包括这些,但是添加它们可以大大提高算法的性能。本文扩展了前一篇论文中所报道的工作,该论文只考虑了负重力,并在一系列优化阵列上显示了显着的性能改进。在精英主义和DTO的混合中加入更好的结果。通过这样做,最佳适应度的总体提高了19.16%。虽然这里报告的工作仅限于6元素Yagis的设计/优化,但基于这些数据的合理推断是,任何天线设计/优化问题,实际上是任何全局搜索和优化问题,无论是否有天线,利用Central Force optimization作为全局搜索和优化引擎将受益于包括所有三个扩展,可能是实质性的。
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