Multi-objective antenna design using sequential domain patching with automated determination of patch size

摘要

In this paper, a simple yet efficient technique for automated multi-objective design optimization of antennas using design space patching is discussed. The optimization procedure is a two-step process: (i) obtaining the initial set of Pareto-optimal designs representing the best possible trade-offs between conflicting objectives, and (ii) Pareto set refinement for yielding the optimal designs at the high-fidelity electromagnetic (EM) simulation model level. The first step is realized at the level of low-fidelity (coarse-discretization) EM model by sequential construction and relocation of small design space segments (patches) in order to create a path connecting the extreme Pareto front designs obtained beforehand. An automated procedure for determining the patch dimensions is introduced. Pareto set refinement is realized using surrogate-based optimization techniques. Our approach is demonstrated using a UWB monopole antenna with 12 independent geometry parameters.