Orthogonal Genetic Algorithm for Planar Thinned Array Designs | Zendy

Li Zhang | Zendy; YongChang Jiao | Zendy; Bo Chen | Zendy; Hong Li | Zendy

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Orthogonal Genetic Algorithm for Planar Thinned Array Designs

Author(s) -

Li Zhang,

YongChang Jiao,

Bo Chen,

Hong Li

Publication year - 2012

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2012/319037

Subject(s) - crossover , orthogonal array , planar array , planar , genetic algorithm , algorithm , computer science , mathematics , mathematical optimization , taguchi methods , artificial intelligence , telecommunications , computer graphics (images) , machine learning

An orthogonal genetic algorithm (OGA) is applied to optimize the planar thinned array with a minimum peak sidelobe level. The method is a genetic algorithm based on orthogonal design. A crossover operator formed by the orthogonal array and the factor analysis is employed to enhance the genetic algorithm for optimization. In order to evaluate the performance of the OGA, 20×10-element planar thinned arrays have been designed to minimize peak sidelobe level. The optimization results by the OGA are better than the previously published results

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