Fast multi-objective antenna optimization using sequential patching and variable-fidelity EM models

In this work, a technique for fast multi-objective design optimization of antenna structures is presented. In our approach, the initial approximation of the Pareto set representing the best possible trade-offs between conflicting design objectives is obtained by means of sequential patching of the design space. The latter is a stencil-based search that aims at creating a path that connects the extreme Pareto-optimal designs (obtained by means of single-objective optimization runs). For the sake of computational efficiency, the patching process is realized at the level of coarse-discretization EM simulation model. The final Pareto front is obtained through surrogate-based optimization, and it is reusing the EM simulation data acquired at the initial design stage. The proposed approach is demonstrated using the example of an ultrawideband monopole antenna.