Multi-Objective Antenna Design Based on BP Neural Network Surrogate Model Optimized by Improved Sparrow Search Algorithm

Multi-Objective Antenna Design Based on BP Neural Network Surrogate Model Optimized by Improved Sparrow Search Algorithm

To solve the time-consuming, laborious, and inefficient problems of traditional methods using classical optimization algorithms combined with electromagnetic simulation software to design antennas, an efficient design method of the multi-objective antenna is proposed based on the multi-strategy impr...

Full description

Bibliographic Details
Main Authors: Zhongxin Wang, Jian Qin, Zijiang Hu, Jian He, Dong Tang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
antenna design
surrogate model
improved sparrow search algorithm
multi-objective antenna
prediction of performance
Online Access:https://www.mdpi.com/2076-3417/12/24/12543

Similar Items

Similar Items