Search
Pareto Ranking Bisection Algorithm for EM-Driven Multi-Objective Design of Antennas in Highly-Dimensional Parameter Spaces
Abstract
A deterministic technique for fast surrogate-assisted multi-objective design optimization of antennas in highly-dimensional parameters spaces has been discussed. In this two-stage approach, the initial approximation of the Pareto set representing the best compromise between conflicting objectives is obtained using a bisection algorithm which finds new Pareto-optimal designs by dividing the line segments interconnecting previously found optimal points, and executing poll-type search that involves Pareto ranking. The initial Pareto front is generated at the level of the coarsely-discretized EM model of the antenna. In the second stage of the algorithm, the high-fidelity Pareto designs are obtained through optimization of corrected local-approximation models. The considered optimization method is verified using a 17-variable uniplanar antenna operating in ultra-wideband frequency range. The method is compared to three state-of-the-art surrogate-assisted multi-objective optimization algorithms.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (4)
-
Leifur Leifsson
- iowa State University
-
Xiaosong Du
- iowa State University
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2017.05.102
- License
-
open in new tab
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
-
Procedia Computer Science
no. 108,
pages 1453 - 1462,
ISSN: 1877-0509 - Title of issue:
- International Conference on Computational Science (ICCS) strony 1453 - 1462
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Bekasiewicz A., Kozieł S., Leifsson L., Du X..: Pareto Ranking Bisection Algorithm for EM-Driven Multi-Objective Design of Antennas in Highly-Dimensional Parameter Spaces, W: International Conference on Computational Science (ICCS), 2017, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2017.05.102
- Verified by:
- Gdańsk University of Technology
seen 84 times