2015
DOI: 10.1007/978-81-322-2250-7_9
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Optimization of Ultra Wide-Band Printed Monopole Square Antenna Using Differential Evolution Algorithm

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Cited by 5 publications
(3 citation statements)
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“…Therefore, the authors developed an irregular-shape MPA [33] and rectangular MPA [34] for UWB application where PSO is applied to estimate design parameters under unknown dimensional specifications. Nonetheless, a differentia-evolution (DE) based estimation method is recommended to design a square monopole antenna, but the overall dimensions of the antenna are not justified [35]. However, a miniaturized stepped-triangular MPA design parameter is tuned for WB application with the PSO technique [36].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the authors developed an irregular-shape MPA [33] and rectangular MPA [34] for UWB application where PSO is applied to estimate design parameters under unknown dimensional specifications. Nonetheless, a differentia-evolution (DE) based estimation method is recommended to design a square monopole antenna, but the overall dimensions of the antenna are not justified [35]. However, a miniaturized stepped-triangular MPA design parameter is tuned for WB application with the PSO technique [36].…”
Section: Related Workmentioning
confidence: 99%
“…( 28)). Now, the other coordinates of the antenna radiators (i.e., p 1 , p 2 , p 3 , p 4 , and p 5 ) are obtained as per equations (28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39), which are found using the GSA-QPSO algorithm. Though, MATLAB is applied as the key development tool; where HFSS has been utilized to validate the performance of reflection coefficients and radiation characteristics.…”
Section: System Implementationmentioning
confidence: 99%
“…The GA [28,29] is based on the evolution theory where weak species face extinction but strong ones survive and pass their genes to the next generation. However for the strong species to survive there is also a requirement for random injection of genes.…”
Section: Iiigenetic Algorithmmentioning
confidence: 99%