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Microstrip-patch array design using a multiobjective GA

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5 Author(s)
van Coevorden, C.M.D.J. ; Fac. de Ciencias, Univ. of Granada, Spain ; Garcia, S.G. ; Pantoja, M.F. ; Bretones, A.R.
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A Pareto multiobjective genetic algorithm (MOGA) has been applied to optimize the radiation characteristics of a 4×4 array of parasitically loaded microstrip-patch antennas in terms of sidelobe level (SLL), main-lobe half-power beamwidth, and dynamic range (DR). The geometry of the array configuration is fixed and the genetic algorithm (GA) finds the complex feeding coefficients of each element in the array.

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Antennas and Wireless Propagation Letters, IEEE  (Volume:4 )