Antenna Design by Simulation-Driven Optimization

Abstract

SpringerBriefs in Optimization showcases algorithmic and theoretical techniques, case studies, and applications within the broad-based fi eld of optimization. Manuscripts related to the ever-growing applications of optimization in applied mathematics, engineering, medicine, economics, and other applied sciences are encouraged. Koziel and Stanislav Ogurtsov 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifi cally for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper Pref aceDesign of contemporary antenna structures heavily relies on electromagnetic (EM) simulations. Accurate refl ection and radiation responses of many antenna geometries can be obtained only with discrete full-wave EM simulation. On the other hand, the direct use of high-fi delity EM simulation in the design process, particularly for automated parameter optimization, results in high computational costs, often prohibitive. Other issues, such as the presence of numerical noise, may result in a failure of optimization using conventional (e.g., gradient-based) methods. In this book, we demonstrate that numerically effi cient design of antennas can be realized using surrogate-based optimization (SBO) methodologies. The essence of SBO techniques resides in shifting the optimization burden to a fast surrogate of the antenna structure and the use of coarse-discretization EM models to confi gure the surrogate. A properly creat...

A Novel Structure and Design Optimization of Compact Spline-Parameterized UWB Slot Antenna

“…where the surrogate model Rs (i) at iteration i is constructed from the low-fidelity model Rc using frequency scaling and output space mapping [13]. Due to a good correlation between the lowand high-fidelity models, the algorithm converges in a few iterations despite the large number of geometry parameters of the antenna.…”

“…Cost-efficient simulation-driven design of antenna structures can be realized either through gradient-based optimization using adjoint sensitivities [11,12] or by means of surrogateassisted algorithms [13,14]. The latter approach is more generic and accessible because the majority of surrogate-based techniques are derivative-free [13].…”

“…The latter approach is more generic and accessible because the majority of surrogate-based techniques are derivative-free [13]. Efficient optimization methods enable to simultaneously handle the antenna size and its electrical performance parameters, see, e.g.…”

Suppressing Side-Lobes of Linear Phased Array of Micro-Strip Antennas with Simulation-Based Optimization

“…gradient-based or metaheuristic algorithms). On the other hand, Surrogate-Based Optimization (SBO) methodologies [10] can be used for reliable antenna array designs accounting for different EM interactions and structural details, in particular with phase-only tapers with acceptable numerical costs [11,12].…”

Recent developments in simulation-driven multi-objective design of antennas

“…For the sake of simplicity, most of antenna optimization problems are reformulated as single objective ones, where one primary objective is handled directly, whereas the others are controlled through appropriately defined constraints or penalty functions ( [15]). However, real-world antenna design tasks are multi-objective ones.…”