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Microstrip-patch array design using a multiobjective GA
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DOI：10.1109/LAWP.2005.845907.png)
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Abstract
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A Pareto multiobjective genetic algorithm (MOGA) has been applied to optimize the radiation characteristics of a 4 x 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.
Keywords:
genetic algorithms (GAs)
microstrip antenna arrays
Pareto genetic algorithms
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4.8
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2.8W
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