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Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array
Joint Authors
Phongcharoenpanich, Chuwong
Mhudtongon, Nattaset
Kawdungta, Supakit
Source
International Journal of Antennas and Propagation
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mhudtongon, Nattaset& Phongcharoenpanich, Chuwong& Kawdungta, Supakit. 2015. Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array. International Journal of Antennas and Propagation،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1064616
Modern Language Association (MLA)
Mhudtongon, Nattaset…[et al.]. Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array. International Journal of Antennas and Propagation No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1064616
American Medical Association (AMA)
Mhudtongon, Nattaset& Phongcharoenpanich, Chuwong& Kawdungta, Supakit. Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array. International Journal of Antennas and Propagation. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1064616
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1064616