Abstract
A simple yet robust methodology for rapid multiobjective design optimization of antenna structures has been presented. The key component of our approach is sequential domain patching of the design space, which 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. The patching process yields the initial approximation of the Pareto set representing the best possible tradeoffs between conflicting design objectives. It is realized-for the sake of computational efficiency-at the level of coarse-discretization electromagnetic (EM) simulation model. The final Pareto front is subsequently obtained using surrogate-assisted optimization where the EM simulation data acquired at the initial design stage is reused.
| Original language | English |
|---|---|
| Article number | 7302548 |
| Pages (from-to) | 1089-1092 |
| Number of pages | 4 |
| Journal | IEEE Antennas and Wireless Propagation Letters |
| Volume | 15 |
| DOIs | |
| Publication status | Published - 2016 |
Bibliographical note
Funding Information: This work was supported in part by the Icelandic Centre for Research (RANNIS) under Grant 1502034051 and the National Science Center, Poland, under Grants No. 2013/11/B/ST7/04325 and No. 2014/12/T/ST7/00045. Publisher Copyright: © 2015 IEEE.Other keywords
- Antenna design
- design space patching
- electromagnetic (EM) simulation
- multiobjective design
- surrogate modeling
- surrogate-based optimization
- variable-fidelity simulations