Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2015, Article ID 124675, 11 pages
Research Article

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

1Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, 1 Chalongkrung Road, Ladkrabang, Bangkok 10520, Thailand
2Faculty of Engineering, Rajamangala University of Technology Lanna, 128 Huay Kaew Road, Muang, Chiangmai 50300, Thailand

Received 2 March 2015; Revised 27 May 2015; Accepted 14 June 2015

Academic Editor: Jun Hu

Copyright © 2015 Nattaset Mhudtongon et al. 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.


This research paper deals with the optimization of a large antenna array for maximum directivity using a modified fruit fly optimization algorithm (MFOA) with random search of two groups of swarm and adaptive fruit fly swarm population size. The MFOA is utilized to determine three nonlinear mathematical test functions, analysis of the optimal number of elements and optimal element spacing of the large antenna array, and analysis of nonuniform amplitude of antenna array. The numerical results demonstrate that the MFOA is effective in solving all test function and electromagnetic problems. The advantages of the proposed algorithm are ease of implementation, large search range, less processing time, and reduced memory requirement.