Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

In this paper, a novel hybrid iterative algorithm based on imperial competition algorithm (ICA) and Ant Colony Optimization (ACO) is proposed to achieve multi-parameters unified-optimization of millimeter wave (mmWave) microstrip antenna. After assimilation of ICA, the pheromone guidance mechanism i...

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Main Authors: Rongling Jian, Yueyun Chen, Taohua Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8694809/
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author Rongling Jian
Yueyun Chen
Taohua Chen
author_facet Rongling Jian
Yueyun Chen
Taohua Chen
author_sort Rongling Jian
collection DOAJ
description In this paper, a novel hybrid iterative algorithm based on imperial competition algorithm (ICA) and Ant Colony Optimization (ACO) is proposed to achieve multi-parameters unified-optimization of millimeter wave (mmWave) microstrip antenna. After assimilation of ICA, the pheromone guidance mechanism is added to update the position of ant, which avoids the ICA solution falling into a local optimum. Two input impedance models of microstrip antenna are solved by different algorithms, which show the proposed algorithm (ICACO) converges faster than three compared algorithms. The multi-parameters unified-optimization of mmWave microstrip antenna under the operation of TM<sub>10</sub> and TM<sub>02</sub> modes is carried out by ICACO to enhance impedance bandwidth and improve bore-sight gain. The proposed algorithm is applicable in antenna multi-parameters design problems as a reliable approach with faster convergence rate.
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spelling doaj.art-3fef38bf968f44c3b4879ba264bce1992022-12-21T22:10:43ZengIEEEIEEE Access2169-35362019-01-017530125301710.1109/ACCESS.2019.29124618694809Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACORongling Jian0https://orcid.org/0000-0002-9217-3624Yueyun Chen1Taohua Chen2School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaIn this paper, a novel hybrid iterative algorithm based on imperial competition algorithm (ICA) and Ant Colony Optimization (ACO) is proposed to achieve multi-parameters unified-optimization of millimeter wave (mmWave) microstrip antenna. After assimilation of ICA, the pheromone guidance mechanism is added to update the position of ant, which avoids the ICA solution falling into a local optimum. Two input impedance models of microstrip antenna are solved by different algorithms, which show the proposed algorithm (ICACO) converges faster than three compared algorithms. The multi-parameters unified-optimization of mmWave microstrip antenna under the operation of TM<sub>10</sub> and TM<sub>02</sub> modes is carried out by ICACO to enhance impedance bandwidth and improve bore-sight gain. The proposed algorithm is applicable in antenna multi-parameters design problems as a reliable approach with faster convergence rate.https://ieeexplore.ieee.org/document/8694809/Millimeter wave (MmWave) antennaunified-optimizationimperial competition algorithm (ICA)ant colony optimization (ACO)
spellingShingle Rongling Jian
Yueyun Chen
Taohua Chen
Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
IEEE Access
Millimeter wave (MmWave) antenna
unified-optimization
imperial competition algorithm (ICA)
ant colony optimization (ACO)
title Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
title_full Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
title_fullStr Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
title_full_unstemmed Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
title_short Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO
title_sort multi parameters unified optimization for millimeter wave microstrip antenna based on icaco
topic Millimeter wave (MmWave) antenna
unified-optimization
imperial competition algorithm (ICA)
ant colony optimization (ACO)
url https://ieeexplore.ieee.org/document/8694809/
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AT taohuachen multiparametersunifiedoptimizationformillimeterwavemicrostripantennabasedonicaco