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International Journal of Antennas and Propagation - Volume 2016 2016, Article ID 5359298, 11 pages -

Research Article

Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Department of Electrical and Computer Engineering, University of Nicosia, Nicosia, Cyprus

Received 6 May 2016; Revised 29 July 2016; Accepted 10 August 2016

Academic Editor: Ikmo Park

Copyright © 2016 Sotirios K. Goudos and John N. Sahalos. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Array thinning is a common discrete-valued combinatorial optimization problem. Evolutionary algorithms are suitable techniques for above-mentioned problem. Biogeography-Based Optimization BBO, which is inspired by the science of biogeography, is a stochastic population-based evolutionary algorithm EA. The original BBO uses a linear migration model to describe how species migrate from one island to another. Other nonlinear migration models have been proposed in the literature. In this paper, we apply BBO with four different migration models to five different large array design cases. Additionally we compare results with five other popular algorithms. The problems dimensions range from 150 to 300. The results show that BBO with sinusoidal migration model generally performs better than the other algorithms. However, these results are considered to be indicative and do not generally apply to all optimization problems in antenna design.





Autor: Sotirios K. Goudos and John N. Sahalos

Fuente: https://www.hindawi.com/



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