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Design of planar concentric circular antenna arrays with reduced side lobe level using symbiotic organisms search

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Abstract

This paper investigates the design of concentric circular antenna arrays (CCAAs) with optimum side lobe level reduction using the Symbiotic Organisms Search (SOS) algorithm. Both thinned and full CCAAs are considered. SOS represents a rather new evolutionary algorithm for antenna array optimization. SOS is inspired by the symbiotic interaction strategies between different organisms in an ecosystem. SOS uses simple expressions to model the three common types of symbiotic relationships: mutualism, commensalism, and parasitism. These expressions are used to find the global minimum of the fitness function. Unlike other methods, SOS is free of tuning parameters, which makes it an attractive optimization method. The results obtained using SOS are compared to those obtained using several optimization methods, like Biogeography-Based Optimization (BBO), Teaching-Learning-Based Optimization (TLBO), and Evolutionary Programming (EP). It is shown that the SOS is a robust straightforward evolutionary algorithm that competes with other known methods.

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Acknowledgements

This work is part of the sabbatical leave research of the author which is supported by the Jordan University of Science and Technology, Irbid, Jordan.

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Authors and Affiliations

  1. Department of Electrical & Communications Engineering, German Jordanian University, Amman, Jordan

    Nihad Dib

  2. Department of Electrical Engineering, Jordan University of Science and Technology, Irbid, Jordan

    Nihad Dib

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  1. Nihad Dib
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Correspondence to Nihad Dib.

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Dib, N. Design of planar concentric circular antenna arrays with reduced side lobe level using symbiotic organisms search. Neural Comput & Applic 30, 3859–3868 (2018). https://doi.org/10.1007/s00521-017-2971-2

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