A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis

This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accurac...

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Published inJournal of electromagnetic waves and applications Vol. 32; no. 13; pp. 1601 - 1615
Main Authors Liang, Zhipeng, Ouyang, Jun, Yang, Feng
Format Journal Article
LanguageEnglish
Published Taylor & Francis 02.09.2018
Subjects
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ISSN0920-5071
1569-3937
DOI10.1080/09205071.2018.1462257

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Abstract This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accuracy when applied to antenna array pattern synthesis. To show the performance of the hybrid optimization algorithm, several typical test functions and optimization examples of a linear array pattern synthesis are illustrated. Finally, a 4 × 2 cylindrical conformal microstrip antenna array as a practical synthesis example is studied to demonstrate the proposed algorithm. The simulated and measured results have shown the proposed method is effective and reliable for conformal antenna array pattern synthesis.
AbstractList This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accuracy when applied to antenna array pattern synthesis. To show the performance of the hybrid optimization algorithm, several typical test functions and optimization examples of a linear array pattern synthesis are illustrated. Finally, a 4 × 2 cylindrical conformal microstrip antenna array as a practical synthesis example is studied to demonstrate the proposed algorithm. The simulated and measured results have shown the proposed method is effective and reliable for conformal antenna array pattern synthesis.
Author Liang, Zhipeng
Ouyang, Jun
Yang, Feng
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Snippet This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays....
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SubjectTerms conformal antenna array
Optimization algorithm
pattern synthesis
Title A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis
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