Multi-Objective Evolutionary Optimization of Aperiodic Symmetrical Linear Arrays

نویسندگان

  • Francesco Napoli
  • Lara Pajewski
  • Roberto Vescovo
  • Marian Marciniak
چکیده

In this paper, a multi-objective approach is applied to the design of aperiodic linear arrays of antennas. The adopted procedure is based on a standard Matlab implementation of the Controlled Elitist Non-Dominated Sorting Genetic Algorithm II. Broadside symmetrical arrays of isotropic radiators are considered with both uniform and non-uniform excitations. The work focuses on whether, and in which design conditions, the aperiodic solutions obtained by the adopted standard multi-objective evolutionary procedure can approximate or outperform the Pareto-optimal front for the uniformspacing case computable by the Dolph-Chebyshev method. Keywords—antenna array, Dolph-Chebyshev array, genetic al-

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تاریخ انتشار 2017