Improved Hybrid Real-Binary PSO Using Modified Learning and Restarting Methods for Planar Microwave Absorber Designs

Improved Hybrid Real-Binary PSO Using Modified Learning and Restarting Methods for Planar Microwave Absorber Designs

This paper proposes an improved hybrid real-binary particle swarm optimization (IHPSO) using modified learning and restarting methods to address electromagnetic optimization problems involving both continuous and discrete decision variables. The modified learning approach aims to improve the explora...

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Bibliographic Details
Main Authors: Xingning Jia, Guoche Qin, Chunshu Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Hybrid optimization
particle swarm optimization
microwave absorber design
Online Access:https://ieeexplore.ieee.org/document/10043853/

Internet

https://ieeexplore.ieee.org/document/10043853/

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