2016 13th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design ( 2016
DOI: 10.1109/smacd.2016.7520747
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Evaluation of genetic algorithms, particle swarm optimisation, and firefly algorithms in antenna design

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Cited by 23 publications
(15 citation statements)
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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%
“…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%
“…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%
“…"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%