论文标题
MM波汽车雷达天线的多目标系统逐个设计
Multi-Objective System-by-Design for mm-Wave Automotive Radar Antennas
论文作者
论文摘要
解决了现代电磁（EM）微波设备设计中产生的多目标优化问题（MOP）的计算效率解决方案。为此，开发了一种新颖的系统设计（SBD）方法，以有效地探索解决方案空间，并为决策者提供一组最佳的最佳权衡解决方案，以最大程度地减少多重和（通常）对比目标。拟议的MO-SBD方法证明了高计算效率，这对于具有竞争性的最先进的拖把解决方案策略而有了显着的时间节省，这要归功于以人工智能（AI）和机器学习（ML）技术的“智能”整合。据报道，代表性的数值结果可为感兴趣的用户提供有关拟议优化方法的有用见解和指南，并评估其在设计MM波汽车雷达天线方面的有效性。
The computationally-efficient solution of multi-objective optimization problems (MOPs) arising in the design of modern electromagnetic (EM) microwave devices is addressed. Towards this end, a novel System-by-Design (SbD) method is developed to effectively explore the solution space and to provide the decision maker with a set of optimal trade-off solutions minimizing multiple and (generally) contrasting objectives. The proposed MO-SbD method proves a high computational efficiency, with a remarkable time saving with respect to a competitive state-of-the-art MOP solution strategy, thanks to the "smart" integration of evolutionary-inspired concepts and operators with artificial intelligence (AI) and machine learning (ML) techniques. Representative numerical results are reported to provide the interested users with useful insights and guidelines on the proposed optimization method as well as to assess its effectiveness in designing mm-wave automotive radar antennas.
