| 摘要: |
| 射频开关网络是自动测试设备的核心，其设计关键在于通用适配器的开关网络设计与优化，同时其自动绘图可视化工作也是关注重点。针对不确定开关数目下的射频开关网络链路设计，建立了以开关数目最少、开关层级最优的多目标优化模型。设计了基于改进非支配排序遗传算法Ⅱ（Non-dominated Sorting Genetic Algorithm Ⅱ，NSGA-Ⅱ）的快速搜索算法，使用高效非支配排序方法(Efficient Approach to Non-dominated Sorting，ENS)取代原来的非支配排序，在解码设计中使用偏差映射缩小了可行解的搜索空间，提高了求解效率。引入开源图形可视化工具Graphviz，通过编写DOT脚本并选择合适的布局策略实现了开关网络链路的自动布图。 |
| 关键词: 射频开关网络链路设计 多目标优化模型 非支配排序遗传算法Ⅱ（NSGA-Ⅱ） 高效非支配排序方法（ENS） 求解效率 图形可视化 |
| DOI：10.20079/j.issn.1001-893x.250324003 |
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| 基金项目:四川省科技厅重大科技专项（2022ZDZX0007） |
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| RF Switching Network Link Design and Automatic Mapping Methods |
| ZHANG Weiyi,LIN Jiaxin,LI Bo,YAN Dejin |
| (1.School of Aeronautics and Astronautics，University of Electronic Science and Technology of China，Chengdu 611731，China;2.Southwest China Institute of Electronic Technology，Chengdu 610036，China) |
| Abstract: |
| The radio frequency（RF） switch network is the core of automatic test equipment，with the key to its design lying in the design and optimization of switch networks for universal adapters.Additionally，the automatic graphical visualization of these networks is a key focus area.For the design of RF switch network links under the condition of uncertain switch counts，a multi-objective optimization model is established that minimizes the number of switches and optimizes switch hierarchy.A fast search algorithm based on the improved non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) is designed to replace the original non-dominated sorting with the efficient approach to non-dominated sorting(ENS).In the decoding design，deviation mapping is used to reduce the search space of feasible solutions，thereby improving the solution efficiency.The open-source graphical visualization tool Graphviz is introduced，and automatic layout of the switch network links is achieved by writing DOT scripts and selecting appropriate layout strategies. |
| Key words: RF switching network link design multi-objective optimization model non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) efficient approach to non-dominated sorting(ENS) solution efficiency graph visualization |
《电讯技术》编辑部 