Bacteria Foraging Algorithm in Antenna Design
Joint Authors
Mangaraj, Biswa Binayak
Jena, Manas Ranjan
Mohanty, Saumendra Kumar
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
A simple design procedure to realize an optimum antenna using bacteria foraging algorithm (BFA) is proposed in this paper.
The first antenna considered is imaginary.
This antenna is optimized using the BFA along with a suitable fitness function formulated by considering some performance parameters and their best values.
To justify the optimum design approach, one 12-element Yagi-Uda antenna is considered for an experiment.
The optimized result of this antenna obtained using the optimization algorithm is compared with nonoptimized (conventional) result of the same antenna to appreciate the importance of optimization.
American Psychological Association (APA)
Mangaraj, Biswa Binayak& Jena, Manas Ranjan& Mohanty, Saumendra Kumar. 2016. Bacteria Foraging Algorithm in Antenna Design. Applied Computational Intelligence and Soft Computing،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1094909
Modern Language Association (MLA)
Mangaraj, Biswa Binayak…[et al.]. Bacteria Foraging Algorithm in Antenna Design. Applied Computational Intelligence and Soft Computing No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1094909
American Medical Association (AMA)
Mangaraj, Biswa Binayak& Jena, Manas Ranjan& Mohanty, Saumendra Kumar. Bacteria Foraging Algorithm in Antenna Design. Applied Computational Intelligence and Soft Computing. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1094909
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094909
