Resonant Frequency Optimization of L-Shaped Feed Cylindrical Liquid Antenna using Genetic Algorithm

2021 ◽  
Author(s):  
Sutapa Ray ◽  
Agniva Chatterjee ◽  
Debojyoti Lodh ◽  
Soham Kanti Bishnu ◽  
Malay Gangopadhyaya
Keyword(s):  
Genetic Algorithm ◽  
Resonant Frequency ◽  
Frequency Optimization

Genetic Algorithm for Bus Frequency Optimization

2010 ◽  
Vol 136 (6) ◽  
pp. 576-583 ◽  
Author(s):  
Bin Yu ◽  
Zhongzhen Yang ◽  
Jinbao Yao
Keyword(s):  
Genetic Algorithm ◽  
Frequency Optimization

Fundamental Frequency Optimization of Laminated Cylindrical Panels by Elitist-Genetic Algorithm

2011 ◽  
Vol 471-472 ◽  
pp. 337-342 ◽  
Author(s):  
Mohammad Homayoun Sadr-Lahidjani ◽  
Hadi Ghashochi Bargh
Keyword(s):  
Genetic Algorithm ◽  
Fundamental Frequency ◽  
Fitness Function ◽  
Finite Strip Method ◽  
Design Variables ◽  
Cylindrical Panels ◽  
Edge Conditions ◽  
Length Width ◽  
Frequency Optimization ◽  
Elitist Strategy

In this paper, fundamental frequency optimization of symmetrically laminated cylindrical panels is investigated by the Elitist-Genetic algorithm (E-GA). The number of layers, the fiber orientation angles, edge conditions, length/width (a/b) and length/R (a/R) ratios are considered as design variables. The classical shallow shell theory (Donnell’s formulation) is applied to calculate the natural frequencies of laminated cylindrical curved panels. To improve the speed of the optimization process, the elitist strategy is used in the Genetic algorithm and the fitness function is computed with a semi-analytical finite strip method (FSM). A program based on Maple is used for this purpose. To check the validity, the obtained results are also compared with some other stacking sequences.

Application of genetic algorithm in M × N reconfigurable antenna array based on RF MEMS switches

2018 ◽  
Vol 32 (30) ◽  
pp. 1850365 ◽  
Author(s):  
Wenchao Tian ◽  
Daowei Wu ◽  
Qiang Chao ◽  
Zhiqiang Chen ◽  
Yongkun Wang
Keyword(s):  
Genetic Algorithm ◽  
Wireless Communication ◽  
Resonant Frequency ◽  
Antenna Array ◽  
Electromagnetic Compatibility ◽  
Rf Mems ◽  
Reconfigurable Antenna ◽  
Target Frequency ◽  
Mems Switches ◽  
Rf Mems Switches

With the continuous development of the wireless communication, a device needs to integrate multiple antennas, which will lead to increased volume, increased cost, electromagnetic compatibility problems and increased weight. This paper presents a [Formula: see text] reconfigurable antenna array based on RF MEMS switches. The modeling script of [Formula: see text] reconfigurable antenna array is written in MATLAB by using MATLAB-HFSS-API. In order to quickly get a switch array with target frequency, genetic algorithm is applied to [Formula: see text] reconfigurable antenna array. Taking the [Formula: see text] reconfigurable antenna array as an example, a switch array with the resonant frequency of 3.81 GHz is searched from its 4096 switch arrays. The switch array found by genetic algorithm is 1 1 0 0 1 0 0 1 1 0 1 0. The resonant frequency and S11 parameter of this switch array is 3.81 GHz and −20.96 dB. The search takes 6.77 h and the efficiency is 17 times of the simulating all switch arrays.

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