2012
DOI: 10.1002/jnm.1869
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Efficient design of a double‐band coplanar hybrid antenna using multi‐objective evolutionary programming

Abstract: SUMMARYIn this paper, we propose the optimization of the parameters of a hybrid antenna for wireless applications by using a multi-objective evolutionary programming (EP). Specifically, the antenna proposed is formed by a planar inverted-F antenna and a coplanar patch, in the same structure. The objective functions to carry out the optimization process are related to the antenna's bandwidth and the gain requirements in the wireless applications considered. In fact, the antenna is intended to be used in mobile … Show more

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Cited by 3 publications
(2 citation statements)
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References 32 publications
(43 reference statements)
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“…On the other hand, the potential of evolutionary algorithms for solving multiobjective optimization problems was first discussed in [14]. Since then, this area of research has attracted an ever-growing interest within the scientific community [15][16][17], including their application to the optimal design of antennas and other radiant devices [18][19][20]. There are two main reasons for applying this kind of algorithms to multiobjective optimization problems.…”
Section: Nondominated Sorting Genetic Algorithm-ii (Nsga-ii)mentioning
confidence: 99%
“…On the other hand, the potential of evolutionary algorithms for solving multiobjective optimization problems was first discussed in [14]. Since then, this area of research has attracted an ever-growing interest within the scientific community [15][16][17], including their application to the optimal design of antennas and other radiant devices [18][19][20]. There are two main reasons for applying this kind of algorithms to multiobjective optimization problems.…”
Section: Nondominated Sorting Genetic Algorithm-ii (Nsga-ii)mentioning
confidence: 99%
“…In [26], an optimization technique called differential evolution (DE) algorithm along with a numerical electromagnetic code based upon the method of moments (MOM) has been applied to a yagi-uda antenna to optimize the impedance bandwidth. In [27], the authors obtained outstanding antenna gains at different bandwidths for a particular inverted F-antenna by using an evolutionary programming algorithm. In [28], an inverted F-antenna loaded with stub has been optimized (in terms of return loss) by a technique called Wind-Driven Optimization (WDO) along with an electromagnetic solver FEKO based on MOM.…”
Section: Introductionmentioning
confidence: 99%