2015
DOI: 10.1515/bpasts-2015-0089
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: Abstract. This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 32 publications
0
2
0
Order By: Relevance
“…The system is based on the commercially known concept of systems for locating IPS objects, which can be found in many reviews [10,28,29], but the one developed in the future should have, for example, a better antenna adapted to specific requirements [30]. In a peer-to-peer network (see Fig.…”
Section: Analysis Of the Uwb Frame In Accordance Withmentioning
confidence: 99%
“…The system is based on the commercially known concept of systems for locating IPS objects, which can be found in many reviews [10,28,29], but the one developed in the future should have, for example, a better antenna adapted to specific requirements [30]. In a peer-to-peer network (see Fig.…”
Section: Analysis Of the Uwb Frame In Accordance Withmentioning
confidence: 99%
“…For the sake of comparison, the cost of antenna optimization using local approximation models (Section 2.3) was higher (45 equivalent evaluations of R f including 411 evaluations of the low‐ fidelity model and 24 evaluations of the high‐fidelity one). Furthermore, the cost of the expedited MOEA‐based optimization is about 67 evaluations of the high‐fidelity model [including ∼200 R c model evaluations for extreme Pareto designs identification, ∼650 R c model simulations for construction of the the kriging model of the antenna and three R f model simulations for output SM‐refinement (per sample)].…”
Section: Design Case Studiesmentioning
confidence: 99%
“…The alteration of the conformation of an antenna is utilized to construct an antenna for a specific application. The improvement of the performance of the modification can be assessed in the simulated radiation patterns, antenna reflection, and antenna gain [4]. A challenge in the reconstruction of an antenna design is to overcome the conflicting matching requirements of the surrounding environment of the antenna.…”
Section: Introductionmentioning
confidence: 99%