Vol. 54
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2013-09-08
Circular Antenna Array Design by Using Evolutionary Search Algorithms
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Progress In Electromagnetics Research B, Vol. 54, 265-284, 2013
Abstract
Evolutionary Search Algorithms (EA) have been intensively used in solving numerical optimization problems. Since design of antenna arrays is a numerical optimization problem, EAs have been intensively used in solving antenna arrays design problems. Although EAs are widely used in antenna array design problems, a performance comparison study of the intensively used EAs for circular antenna array design problem has been scarcely studied. In this paper, 3 different circular antenna array design problems have been solved by using 15 different evolutionary search algorithms (i.e., ABC, ACS, BSA, CK, CLPSO, CMAES, DE, E2-DSA, EPSDE, GSA, JADE, JDE, PSO, SADE, S-DSA). The objective function designed for solution of the relevant circular antenna array design problems ensures minimization of side lobe levels, acquisition of maximum directivity, and null control of the non-uniform, planar circular antenna array. Obtained statistical analysis results show that S-DSA solves the relevant circular antenna array design problems statistically better than the other evolutionary algorithms used in this paper.
Citation
Pinar Civicioglu, "Circular Antenna Array Design by Using Evolutionary Search Algorithms," Progress In Electromagnetics Research B, Vol. 54, 265-284, 2013.
doi:10.2528/PIERB13050112
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