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International Journal of Antennas and Propagation
Volume 2017 (2017), Article ID 7158752, 11 pages
https://doi.org/10.1155/2017/7158752
Research Article

Pattern Synthesis of Linear Antenna Arrays Using Enhanced Flower Pollination Algorithm

Department of ECE, Thapar University, Patiala, India

Correspondence should be addressed to Rohit Salgotra; moc.liamg@00.avonossac

Received 18 October 2016; Revised 9 December 2016; Accepted 18 January 2017; Published 20 February 2017

Academic Editor: Shih Yuan Chen

Copyright © 2017 Urvinder Singh and Rohit Salgotra. 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

In this paper, a new variant of flower pollination algorithm (FPA), namely, enhanced flower pollination algorithm (EFPA), has been proposed for the pattern synthesis of nonuniform linear antenna arrays (LAA). The proposed algorithm uses the concept of Cauchy mutation in global pollination and enhanced local search to improve the exploration and exploitation tendencies of FPA. It also uses dynamic switching to control the rate of exploration and exploitation. The algorithm is tested on standard benchmark problems and has been compared statistically with state of the art to prove its worthiness. LAA design is a tricky and difficult electromagnetic problem. Hence to check the efficacy of the proposed algorithm it has been used for synthesis of four different LAA with different sizes. Experimental results show that EFPA algorithm provides enhanced performance in terms of side lobe suppression and null control compared to FPA and other popular algorithms.