Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition

Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition

Synthesis of phase-only reconfigurable array aims at finding a common amplitude distribution and different phase distributions for the array to form different patterns. In this paper, the synthesis problem is formulated as a multiobjective optimization problem and solved by a new proposed algorithm...

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Main Authors: Yan Liu, Yong-Chang Jiao, Ya-Ming Zhang, Yan-Yan Tan
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2014/630529
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spelling doaj-1ce36847e0ce48b398b12bd8c96d0e6a2020-11-24T23:55:13ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/630529630529Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on DecompositionYan Liu0Yong-Chang Jiao1Ya-Ming Zhang2Yan-Yan Tan3National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an 710071, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSynthesis of phase-only reconfigurable array aims at finding a common amplitude distribution and different phase distributions for the array to form different patterns. In this paper, the synthesis problem is formulated as a multiobjective optimization problem and solved by a new proposed algorithm MOEA/D-IWO. First, novel strategies are introduced in invasive weed optimization (IWO) to make original IWO fit for solving multiobjective optimization problems; then, the modified IWO is integrated into the framework of the recently well proved competitive multiobjective optimization algorithm MOEA/D to form a new competitive MOEA/D-IWO algorithm. At last, two sets of experiments are carried out to illustrate the effectiveness of MOEA/D-IWO. In addition, MOEA/D-IWO is compared with MOEA/D-DE, a new version of MOEA/D. The comparing results show the superiority of MOEA/D-IWO and indicate its potential for solving the antenna array synthesis problems.http://dx.doi.org/10.1155/2014/630529
collection DOAJ
language English
format Article
sources DOAJ
author Yan Liu
Yong-Chang Jiao
Ya-Ming Zhang
Yan-Yan Tan
spellingShingle Yan Liu
Yong-Chang Jiao
Ya-Ming Zhang
Yan-Yan Tan
Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
International Journal of Antennas and Propagation
author_facet Yan Liu
Yong-Chang Jiao
Ya-Ming Zhang
Yan-Yan Tan
author_sort Yan Liu
title Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
title_short Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
title_full Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
title_fullStr Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
title_full_unstemmed Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
title_sort synthesis of phase-only reconfigurable linear arrays using multiobjective invasive weed optimization based on decomposition
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2014-01-01
description Synthesis of phase-only reconfigurable array aims at finding a common amplitude distribution and different phase distributions for the array to form different patterns. In this paper, the synthesis problem is formulated as a multiobjective optimization problem and solved by a new proposed algorithm MOEA/D-IWO. First, novel strategies are introduced in invasive weed optimization (IWO) to make original IWO fit for solving multiobjective optimization problems; then, the modified IWO is integrated into the framework of the recently well proved competitive multiobjective optimization algorithm MOEA/D to form a new competitive MOEA/D-IWO algorithm. At last, two sets of experiments are carried out to illustrate the effectiveness of MOEA/D-IWO. In addition, MOEA/D-IWO is compared with MOEA/D-DE, a new version of MOEA/D. The comparing results show the superiority of MOEA/D-IWO and indicate its potential for solving the antenna array synthesis problems.
url http://dx.doi.org/10.1155/2014/630529
work_keys_str_mv AT yanliu synthesisofphaseonlyreconfigurablelineararraysusingmultiobjectiveinvasiveweedoptimizationbasedondecomposition
AT yongchangjiao synthesisofphaseonlyreconfigurablelineararraysusingmultiobjectiveinvasiveweedoptimizationbasedondecomposition
AT yamingzhang synthesisofphaseonlyreconfigurablelineararraysusingmultiobjectiveinvasiveweedoptimizationbasedondecomposition
AT yanyantan synthesisofphaseonlyreconfigurablelineararraysusingmultiobjectiveinvasiveweedoptimizationbasedondecomposition
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