2001
DOI: 10.1007/3-540-45443-8_21
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Evolutionary Optimization of Yagi-Uda Antennas

Abstract: Abstract.Yagi-Uda antennas are known to be difficult to design and optimize due to their sensitivity at high gain, and the inclusion of nu-

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Cited by 38 publications
(25 citation statements)
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“…Genetic Programming, a variant of genetic algorithms yet with marked differences, is an especially interesting form of computational problem solving. Genetic Algorithms (GA), already widely used in antenna design (Jones & Joines, 2000;Lohn et al, 2001) and more recently also applied to EBG design and optimization (Bray et al, 2006;Ge et al, 2007;Yeo et al, 2002) iteratively transform populations of mathematical objects (typically fixed-length binary character strings), each with an associated fitness value, into new populations using the Darwinian principle of natural selection.…”
Section: Genetic Programmingmentioning
confidence: 99%
“…Genetic Programming, a variant of genetic algorithms yet with marked differences, is an especially interesting form of computational problem solving. Genetic Algorithms (GA), already widely used in antenna design (Jones & Joines, 2000;Lohn et al, 2001) and more recently also applied to EBG design and optimization (Bray et al, 2006;Ge et al, 2007;Yeo et al, 2002) iteratively transform populations of mathematical objects (typically fixed-length binary character strings), each with an associated fitness value, into new populations using the Darwinian principle of natural selection.…”
Section: Genetic Programmingmentioning
confidence: 99%
“…At NASA Ames Research Center, Lohn et al have used evolutionary algorithms to determine the size and spacing of the elements within a Yagi-Uda antenna [22]. More recently they have used a co-evolutionary algorithm to optimize the design parameters of a quadrifilar helical antenna [23].…”
Section: Evolutionary Antennasmentioning
confidence: 99%
“…Also, [41] shows that PSO algorithm convergence is faster than GA and SA for the same problem and the main computational time is lower than SA, binary GA, real GA, binary hybrid GA, and real hybrid GA. The literature on the use of the PSO method in the design of antenna arrays is extensive, a sample of which can be found in [42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]. In this paper, the method of PSO is used to provide a comprehensive study of the design of linear and circular antenna arrays.…”
Section: Introductionmentioning
confidence: 99%