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  Published Paper Details:

  Paper Title

A SURVEY OF ANTENNA ARRAY OPTIMIZATION USING META-HEURISTIC ALGORITHM

  Authors

  D.Ramesh Varma,  Dr.T.Sudeer Kumar,  Dr.M.Murali

  Keywords

Optimization, Meta-heuristic algorithm

  Abstract


Antennas are termed as eyes of the world. They are used in wireless systems. There are various factors that influence the antenna design. In order to overcome the design problems, recently many algorithms have been developed to optimize the antenna with respect to general constraints, different criteria and performance characteristics. In the present era, nature inspired Meta-heuristic algorithms plays a vital role in optimizing the design issues related to an antenna. The Meta-heuristic algorithms include Genetic algorithm (GA), Ant Colony Optimization (ACO), backtracking search optimization algorithm (BSA), cuckoo search�chicken swarm optimization (CSCSO) and flower pollination algorithm (FPA). In this paper, the antenna array optimization is discussed which includes population-based meta-heuristic algorithms. This paper reviews antenna array design optimization for different antennas configurations.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005042

  Paper ID - 193985

  Page Number(s) - 282-287

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  D.Ramesh Varma,  Dr.T.Sudeer Kumar,  Dr.M.Murali,   " A SURVEY OF ANTENNA ARRAY OPTIMIZATION USING META-HEURISTIC ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.282-287, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005042.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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