Publication detail

Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation

ČAPEK, M. JELÍNEK, L. KADLEC, P. GUSTAFSSON, M.

Original Title

Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation

Type

journal article in Web of Science

Language

English

Original Abstract

A memetic framework for optimal inverse design is proposed by combining a local gradient-based procedure and a robust global scheme. The procedure is based on method-of-moments matrices and does not demand full inversion of a system matrix. Fundamental bounds are evaluated for all optimized metrics in the same manner, providing natural stopping criteria and quality measures for realized devices. Compared to density-based topology optimization, the proposed routine does not require filtering or thresholding. Compared to commonly used heuristics, the technique is significantly faster, still preserving a high level of versatility and robustness. This is a two-part paper in which the first part is devoted to the theoretical background and properties, and the second part applies the method to examples of varying complexity.

Keywords

Antennas, numerical methods, optimization methods, shape sensitivity analysis, structural topology design, inverse design

Authors

ČAPEK, M.; JELÍNEK, L.; KADLEC, P.; GUSTAFSSON, M.

Released

30. 8. 2023

Publisher

IEEE Press

Location

Piscataway, NJ, USA

ISBN

1558-2221

Periodical

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

Year of study

71

Number

11

State

United States of America

Pages from

8806

Pages to

8816

Pages count

11

URL

https://ieeexplore.ieee.org/document/10235895

BibTex

@article{BUT184478,
  author="Miloslav {Čapek} and Lukáš {Jelínek} and Petr {Kadlec} and Mats {Gustafsson}",
  title="Optimal Inverse Design Based on Memetic Algorithms - Part 1: Theory and Implementation",
  journal="IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION",
  year="2023",
  volume="71",
  number="11",
  pages="8806--8816",
  doi="10.1109/TAP.2023.3308587",
  issn="1558-2221",
  url="https://ieeexplore.ieee.org/document/10235895"
}