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Bacteria Foraging Algorithm in Antenna Design


Affiliations
1 Department of Electronics and Telecommunication Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha 768018, India
2 Department of Electronics and Telecommunication Engineering, Synergy Institute of Engineering & Technology, Dhenkanal, Odisha 759001, India
3 Department of Electronics and Instrumentation Engineering, Institute of Technical Education & Research, S ‘O’A University, Bhubaneswar, Odisha 751030, India
 

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.
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  • Bacteria Foraging Algorithm in Antenna Design

Abstract Views: 83  |  PDF Views: 6

Authors

Biswa Binayak Mangaraj
Department of Electronics and Telecommunication Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha 768018, India
Manas Ranjan Jena
Department of Electronics and Telecommunication Engineering, Synergy Institute of Engineering & Technology, Dhenkanal, Odisha 759001, India
Saumendra Kumar Mohanty
Department of Electronics and Instrumentation Engineering, Institute of Technical Education & Research, S ‘O’A University, Bhubaneswar, Odisha 751030, India

Abstract


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.