A Hybrid Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Inverse Scattering Problems

A hybrid inversion approach based on the quantum-behaved particle swarm optimization (QPSO) method is presented in this article to solve electromagnetic inverse problems. Inverse scattering problems are ill-posed and are often transformed into optimization problems by defining a suitable cost functi...

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Veröffentlicht in:	IEEE transactions on antennas and propagation Jg. 69; H. 9; S. 5861 - 5869
Hauptverfasser:	Yang, Chun Xia, Zhang, Jian, Tong, Mei Song
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational efficiency Computing costs Cost function Electromagnetic diffraction Electromagnetic scattering Electromagnetics Evolutionary algorithms Genetic algorithms Imaging Inverse problems Inverse scattering microwave imaging Optimization Particle swarm optimization quantum-behaved particle swarm optimization (PSO) Statistics
ISSN:	0018-926X, 1558-2221
Online-Zugang:	Volltext
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