2015
DOI: 10.1109/tap.2015.2398124
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A Multilayered Metamaterial-Inspired Miniaturized Dynamically Tunable Antenna

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Cited by 17 publications
(6 citation statements)
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“…In recent years, the most recent technology in how to adjust the geometry based on a known geometry to achieve the required specifications and best design which requires more experience through a trial and error process has been developed, on the other hand, the ability to develop highly nonintuitive solutions that would be difficult to achieve using traditional methods, many algorithms have recently been utilized in antenna design, [1][2][3][4][5][6][7] and it is a successful method of antenna optimization that meets all requirements, and fully automated design procedures, for example, geometric dimensions, are based on predefined design criteria. 8,9 Evolutionary methods, such as the evolution algorithm, have found widespread application in fields ranging from engineering, economics to artificial intelligence, [10][11][12] furthermore, Increasing computational power will strengthen the role of numerical approaches in solving complex problems in the near future. Differential evolution algorithm is a combination between evolutionary optimization variant and genetic algorithm, recently applied in antenna problems, 13,14 its main idea is to use individual differences to generate temporary individuals within populations; than the population evolution restructure randomly.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the most recent technology in how to adjust the geometry based on a known geometry to achieve the required specifications and best design which requires more experience through a trial and error process has been developed, on the other hand, the ability to develop highly nonintuitive solutions that would be difficult to achieve using traditional methods, many algorithms have recently been utilized in antenna design, [1][2][3][4][5][6][7] and it is a successful method of antenna optimization that meets all requirements, and fully automated design procedures, for example, geometric dimensions, are based on predefined design criteria. 8,9 Evolutionary methods, such as the evolution algorithm, have found widespread application in fields ranging from engineering, economics to artificial intelligence, [10][11][12] furthermore, Increasing computational power will strengthen the role of numerical approaches in solving complex problems in the near future. Differential evolution algorithm is a combination between evolutionary optimization variant and genetic algorithm, recently applied in antenna problems, 13,14 its main idea is to use individual differences to generate temporary individuals within populations; than the population evolution restructure randomly.…”
Section: Introductionmentioning
confidence: 99%
“…Today, the demand for designing multiband antennas with a low cost and minimal weight has become highly essential due to the presence of multiple communication standards. Today, antenna performance has been significantly improved using metamaterial, which offers improved size miniaturization, gain, bandwidth, as well as decreased cost [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, pixel surfaces have already demonstrated its reconfigurable ability when used as the parasitic structures of the antenna, leading to significant advantages in the switch biasing, power handling, and integration possibilities [6,[24][25][26]. Nevertheless, the parasitic pixel layer is employed to realize single reconfiguration, without any further exploration in compound reconfigurable performance.…”
Section: Introductionmentioning
confidence: 99%