Evaluation of genetic algorithms, particle swarm optimisation, and firefly algorithms in antenna design

Mohammed, Husham J.; Abdulsalam, F.; Abdulla, A. S.; Ali, Ramzy S.; Abd‐Alhameed, Raed A.; Noras, J. M.; Abdulraheem, Yasir I.; Ali, Abdul Malik Mohd; Rodríguez, José Luis Martín; Abdalla, Abdelgader M.

doi:10.1109/smacd.2016.7520747

Cited by 23 publications

(15 citation statements)

References 12 publications

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“…For each particle, the performance is measured utilizing an objective function that differs depending on the optimization challenge. The basic PSO algorithm is given below according to the flow chart which is shown in Figure 5 [31][32][33][34][35].…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Wavelet Neural Networks for Speed Control of BLDC Motor

Saleh¹,

Obed²,

Qasim³

et al. 2021

Automation and Control

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In the recent years, researchers have sophisticated the synthesis of neural networks depending on the wavelet functions to build the wavelet neural networks (WNNs), where the wavelet function is utilized in the hidden layer as a sigmoid function instead of conventional sigmoid function that is utilized in artificial neural network. The WNN inherits the features of the wavelet function and the neural network (NN), such as self-learning, self-adapting, time-frequency location, robustness, and nonlinearity. Besides, the wavelet function theory guarantees that the WNN can simulate the nonlinear system precisely and rapidly. In this chapter, the WNN is used with PID controller to make a developed controller named WNN-PID controller. This controller will be utilized to control the speed of Brushless DC (BLDC) motor to get preferable performance than the traditional controller techniques. Besides, the particle swarm optimization (PSO) algorithm is utilized to optimize the parameters of the WNN-PID controller. The modification for this method of the WNN such as the recurrent wavelet neural network (RWNN) was included in this chapter. Simulation results for all the above methods are given and compared.

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Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Wavelet Neural Networks for Speed Control of BLDC Motor

Saleh¹,

Obed²,

Qasim³

et al. 2021

Automation and Control

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show abstract

“…Radio frequency noise is a serious problem in current applications of wireless systems such as green communications and wide-band radar applications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Microstrip bandpass filters (BPF) are widely used to defeat noise and undesirable waves in multiple communication applications [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], "basically in RF and microwave communications because of their effective filtering of harmonic signals.…”

Section: Introductionmentioning

confidence: 99%

Dual-Wide Band Stub Loaded Step Impedance Resonator Filter with Folded Meander Couple Lines

Al‐Yasir¹,

Tu²,

Parchin³

et al. 2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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In this paper, a novel multi-standard filter with the size of only 4.6mm×41.65mm and a thickness of 0.635mm is presented. This filter is capable of generating two wide operating bands that effectively cover the GSM/UMTS/GPS/IEEE 802.11a operations in mobile devices, which include GSM1800 (1710-1880MHz), GSM1900 (1850-1990 MHz), UMTS (1920-2170 MHz), GPS (frequency band cantered at 5.75GHz) and IEEE 802.11a (frequency band cantered at 5.8GHz) bands. The proposed multi-standard filter's wide bandwidths at the low and high frequency are attributed to the mutual coupling of the modified SIR resonators. Meanwhile, in band and out of band performances of the proposed filter are enhanced by novel folded structure and even and odd phase velocity compensation technique using shifted coupled lines. Because there is no via hole or defect ground structure included in the filter structure, the structure is relatively simple and easily realized.

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“…"RF noise is a serious concern in recent applications of wireless communications such as green communications and wide-band radar systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Planer bandpass filter is commonly employed to suppress noise and undesirable signals in different communication systems [19], basically in RF and microwave communications because of their effective rejection of harmonic signals.…”

Section: Introductionmentioning

confidence: 99%

Novel and Very Compact Reconfigurable Bandpass to Lowpass/Bandpass Microstrip Filter with Wide-stopband Restriction for 5G Communications

Al‐Yasir¹,

Tu²,

Parchin³

et al. 2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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This paper presents a novel and very compact planer reconfigurable bandpass to bandpass/lowpass filter covering the 0 to 1 GHz and 3.4 to 3.8 GHz spectrum for 5G applications. The microstrip filter employs three open-loop ring resonators with 50 Ω tapped lines for input and output ports. To achieve sharper cutoff frequencies, finite transmission zeros are successfully generated on the upper and lower edges of the 5G passbands. By utilization of the forth resonator between the input and output ports, Lowpass characteristics and reconfigurability properties are achieved. The cross-coupling coefficients between the resonators are optimized to resonate at the required frequency with proper bandwidth. The reported filter is simulated and optimized using CST software, and is designed on a Rogers RO3010 substrate with a relative dielectric constant of 10.2 and a very compact size of 10×7.9×1.27 mm 3 .

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Evaluation of genetic algorithms, particle swarm optimisation, and firefly algorithms in antenna design

Cited by 23 publications

References 12 publications

Wavelet Neural Networks for Speed Control of BLDC Motor

Wavelet Neural Networks for Speed Control of BLDC Motor

Dual-Wide Band Stub Loaded Step Impedance Resonator Filter with Folded Meander Couple Lines

Novel and Very Compact Reconfigurable Bandpass to Lowpass/Bandpass Microstrip Filter with Wide-stopband Restriction for 5G Communications

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