Analysis and parametric optimization of a turn of a meander line with broad-side coupling in different environments

The paper presents the results of the analysis and parametric optimization of a meander line with a broad-side coupling in different climatic conditions. The optimization was performed by the two methods: genetic algorithms (GA) and evolutionary strategies (ES), and using one and two criteria. Different environmental conditions were represented by ice, water and air. The analysis showed that changing from the air filling layer to the water layer increased the per-unit-length delays of the even and odd modes by 39% and 12%, and introducing the ice layer – by 177% and 248%, respectively. The optimization results of the two methods showed good agreement. However, with the obtained similar sets of optimal parameters, the optimization using ES was up to 3.3 times faster than the optimization using GA.