A 3 dB SISL coupler design by multi‐objective evolutionary algorithm based on decomposition

In this article, a 3 dB substrate integrated suspended line (SISL) coupler design by multi‐objective evolutionary algorithm based on decomposition (MOEA/D) is proposed. SISL technology can provide electromagnetic shielding performance and realize the low loss, lightweight, and self‐packaging. The hi...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of RF and microwave computer-aided engineering Ročník 32; číslo 12
Hlavní autoři: Zhang, Yongliang, Yi, Yu, Feng, Linping, Qi, Guangfei, Zhang, Xianfang, Zhang, Xiaoping, Yang, Chen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.12.2022
Témata:
1D‐CAE
3 dB coupler
Couplers
Decomposition
Electromagnetic shielding
Evolutionary algorithms
MOEA/D
multi‐objective optimization
substrate integrated suspended line
Substrates
ISSN:1096-4290, 1099-047X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this article, a 3 dB substrate integrated suspended line (SISL) coupler design by multi‐objective evolutionary algorithm based on decomposition (MOEA/D) is proposed. SISL technology can provide electromagnetic shielding performance and realize the low loss, lightweight, and self‐packaging. The highly time‐consuming problem of adopting traditional electromagnetic (EM) simulation software to assist coupler design is always the main problem for the design of couplers. To solve the problem, this article applies MOEA/D based on one‐dimensional convolutional autoencoders (1D‐CAE) to assist coupler design. 1D‐CAE model builds the surrogate model to help MOEA/D find out better responses faster. MOEA/D has some advantages of saving time and getting good performance easily.
Bibliografie:Funding information
China Postdoctoral Science Foundation, Grant/Award Number: 2022M712513; Joint Foundation of Key Laboratory of Shanghai Jiao Tong University‐Xidian University, Ministry of Education and Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, Grant/Award Number: 2021SYS‐04; National Natural Science Foundation of China, Grant/Award Numbers: 62001170, 61761032, 62161032; Nature Science Foundation of Inner Mongolia, Grant/Award Number: 2019MS06006
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1096-4290
1099-047X
DOI:10.1002/mmce.23507