一个改进的NSGA-II算法用于多目标优化不规则的多边形补丁天线
Zhenyang Ma1,2, Jiahao Liu2,3
1Institute of Science and Technology Innovation, Civil Aviation University of China, Tianjin 300300, China.
Micromachines
|July 30, 2025
概括
一个改进的非主导排序遗传算法II (NSGA-II) 优化了不规则的多边形补丁天线 (IPPA),提高了宽带应用的融合和解决方案质量. 这种方法可以实现具有显著运行带宽的紧天线设计.
科学领域:
- 电磁学和天线设计
- 计算智能和优化算法计算智能和优化算法
- 微波工程 微波工程
背景情况:
- 对天线设计的多目标优化对于实现所需的性能特征至关重要.
- 现有的优化算法可能会面临融合速度的挑战,并避免局部最佳对于复杂的天线几何形状,如不规则的多边形补丁天线 (IPPAs).
- X频段的频率范围需要具有特定带宽和尺寸限制的天线.
研究的目的:
- 介绍一个增强的非主导排序遗传算法II (NSGA-II),用于优化不规则的多边形补丁天线 (IPPA).
- 在多目标天线设计中提高合效率和帕雷托前线的质量.
- 为了同时最大限度地降低天线体积和最大限度地提高X频段内的运行带宽.
主要方法:
- 在NSGA-II算法中整合适应机制,以动态调整交叉和突变率.
- 纳入模拟火启发的接受标准,以增强进化强度,避免局部最佳.
- 使用高频结构模拟器 (HFSS) 与详细的电磁模型进行共模拟,用于设计和优化.
主要成果:
- 最优化的IPPA实现了2807.6mm3.6的紧体积.
- 对于X频带天线,获得了2.7GHz的显著运行带宽.
- 实验验证证了基于模拟的优化结果的准确性和可靠性.
结论:
- 改进的NSGA-II算法有效地解决了复杂的多目标天线设计挑战.
- 拟议的方法在IPPAs的收和帕雷托前线质量方面表现优越.
- 优化的天线显示了先进的宽带应用程序的巨大潜力,这些应用程序需要紧和宽带宽的解决方案.
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