The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article propose le Vector Evaluated GA-ICT (VEGA-ICT), une nouvelle méthode de conception qui utilise l'algorithme génétique (GA) pour obtenir la conception d'antenne optimale. GA-ICT intègre une antenne modèle de grille filaire arbitraire pour dériver la solution optimale sans aucune structure de base ni limitation du nombre d'éléments en optimisant simplement une fonction objective. GA-ICT comprend le GA et une méthode d'analyse, la Théorie des Circuits Améliorée (ICT), avec les caractéristiques suivantes. (1) Pour obtenir l'optimisation d'un modèle d'antenne à grille filaire arbitraire sans structure d'antenne de base, les inconnues de l'ICT sont directement affectées aux variables du GA dans le GA-ICT. (2) Pour obtenir un nombre variable d'éléments, les éléments en double générés en utilisant la même région réalisable sont supprimés dans les TIC. (3) Pour satisfaire toutes les conditions de conception complexes, le GA-ICT génère une fonction objective à l'aide d'une fonction de pondération générée en fonction des caractéristiques électriques, de la configuration de l'antenne et de la taille. (4) Pour surmonter la difficulté de convergence causée par la non-linéarité de chaque terme dans la fonction objectif, GA-ICT adopte une méthode d'évaluation vectorielle. Dans cet article, la nouvelle méthode GA-ICT est appliquée à la réduction de la taille des antennes sectorielles. La région de calcul dans GA-ICT est réduite en adoptant des coordonnées cylindriques et une structure d'imagerie périodique. La GA-ICT permet une réduction de taille de 30 % par rapport à l'antenne à petit secteur précédemment signalée, MS-MPYA, tout en conservant presque les mêmes caractéristiques.
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Tamami MARUYAMA, Toshikazu HORI, "Vector Evaluated GA-ICT for Novel Optimum Design Method of Arbitrarily Arranged Wire Grid Model Antenna and Application of GA-ICT to Sector-Antenna Downsizing Problem" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 11, pp. 3014-3022, November 2001, doi: .
Abstract: This paper proposes the Vector Evaluated GA-ICT (VEGA-ICT), a novel design method that employs the Genetic Algorithm (GA) to obtain the optimum antenna design. GA-ICT incorporates an arbitrary wire-grid model antenna to derive the optimum solution without any basic structure or limitation on the number of elements by merely optimizing an objective function. GA-ICT comprises the GA and an analysis method, the Improved Circuit Theory (ICT), with the following characteristics. (1) To achieve optimization of an arbitrary wire-grid model antenna without a basic antenna structure, the unknowns of the ICT are directly assigned to variables of the GA in the GA-ICT. (2) To achieve a variable number of elements, duplicate elements generated by using the same feasible region are deleted in the ICT. (3) To satisfy all complex design conditions, the GA-ICT generates an objective function using a weighting function generated based on electrical characteristics, antenna configuration, and size. (4) To overcome the difficulty of convergence caused by the nonlinearity of each term in the objective function, GA-ICT adopts a vector evaluation method. In this paper, the novel GA-ICT method is applied to downsize sector antennas. The calculation region in GA-ICT is reduced by adopting cylindrical coordinates and a periodic imaging structure. The GA-ICT achieves a 30% reduction in size compared to the previously reported small sector antenna, MS-MPYA, while retaining almost the same characteristics.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_11_3014/_p
Copier
@ARTICLE{e84-b_11_3014,
author={Tamami MARUYAMA, Toshikazu HORI, },
journal={IEICE TRANSACTIONS on Communications},
title={Vector Evaluated GA-ICT for Novel Optimum Design Method of Arbitrarily Arranged Wire Grid Model Antenna and Application of GA-ICT to Sector-Antenna Downsizing Problem},
year={2001},
volume={E84-B},
number={11},
pages={3014-3022},
abstract={This paper proposes the Vector Evaluated GA-ICT (VEGA-ICT), a novel design method that employs the Genetic Algorithm (GA) to obtain the optimum antenna design. GA-ICT incorporates an arbitrary wire-grid model antenna to derive the optimum solution without any basic structure or limitation on the number of elements by merely optimizing an objective function. GA-ICT comprises the GA and an analysis method, the Improved Circuit Theory (ICT), with the following characteristics. (1) To achieve optimization of an arbitrary wire-grid model antenna without a basic antenna structure, the unknowns of the ICT are directly assigned to variables of the GA in the GA-ICT. (2) To achieve a variable number of elements, duplicate elements generated by using the same feasible region are deleted in the ICT. (3) To satisfy all complex design conditions, the GA-ICT generates an objective function using a weighting function generated based on electrical characteristics, antenna configuration, and size. (4) To overcome the difficulty of convergence caused by the nonlinearity of each term in the objective function, GA-ICT adopts a vector evaluation method. In this paper, the novel GA-ICT method is applied to downsize sector antennas. The calculation region in GA-ICT is reduced by adopting cylindrical coordinates and a periodic imaging structure. The GA-ICT achieves a 30% reduction in size compared to the previously reported small sector antenna, MS-MPYA, while retaining almost the same characteristics.},
keywords={},
doi={},
ISSN={},
month={November},}
Copier
TY - JOUR
TI - Vector Evaluated GA-ICT for Novel Optimum Design Method of Arbitrarily Arranged Wire Grid Model Antenna and Application of GA-ICT to Sector-Antenna Downsizing Problem
T2 - IEICE TRANSACTIONS on Communications
SP - 3014
EP - 3022
AU - Tamami MARUYAMA
AU - Toshikazu HORI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2001
AB - This paper proposes the Vector Evaluated GA-ICT (VEGA-ICT), a novel design method that employs the Genetic Algorithm (GA) to obtain the optimum antenna design. GA-ICT incorporates an arbitrary wire-grid model antenna to derive the optimum solution without any basic structure or limitation on the number of elements by merely optimizing an objective function. GA-ICT comprises the GA and an analysis method, the Improved Circuit Theory (ICT), with the following characteristics. (1) To achieve optimization of an arbitrary wire-grid model antenna without a basic antenna structure, the unknowns of the ICT are directly assigned to variables of the GA in the GA-ICT. (2) To achieve a variable number of elements, duplicate elements generated by using the same feasible region are deleted in the ICT. (3) To satisfy all complex design conditions, the GA-ICT generates an objective function using a weighting function generated based on electrical characteristics, antenna configuration, and size. (4) To overcome the difficulty of convergence caused by the nonlinearity of each term in the objective function, GA-ICT adopts a vector evaluation method. In this paper, the novel GA-ICT method is applied to downsize sector antennas. The calculation region in GA-ICT is reduced by adopting cylindrical coordinates and a periodic imaging structure. The GA-ICT achieves a 30% reduction in size compared to the previously reported small sector antenna, MS-MPYA, while retaining almost the same characteristics.
ER -