Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13718
Title: Comparison of evolutionary algorithms for LPDA antenna optimization
Authors: Lazaridis, PI
Tziris, EN
Zaharis, ZD
Xenos, TD
Cosmas, JP
Gallion, PB
Holmes, V
Glover, IA
Keywords: LPDA;Log-periodic;Antenna optimization;Evolutionary algorithms;IWO-PSO;Taguchi
Issue Date: 2016
Publisher: Wiley
Citation: Radio Science, 51(8): pp. 1377 - 1384, (2016)
Abstract: A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using Numerical Electromagnetics Code. The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, front-to-rear ratio (F/R) and standing wave ratio. The parameters of the LPDA optimized are the dipole lengths, the spacing between the dipoles, and the dipole wire diameters. The evolutionary algorithms compared are the Differential Evolution (DE), Particle Swarm (PSO), Taguchi, Invasive Weed (IWO), and Adaptive Invasive Weed Optimization (ADIWO). Superior performance is achieved by the IWO (best results) and PSO (fast convergence) algorithms.
URI: http://bura.brunel.ac.uk/handle/2438/13718
DOI: http://dx.doi.org/10.1002/2015RS005913
ISSN: 0048-6604
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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