IMPROVED ADAPTIVE BACTERIA FORAGING ALGORITHM IN OPTIMIZATION OF ANTENNA ARRAY FOR FASTER CONVERGENCE | Zendy

Tanumay Datta | Zendy; Iti Saha Misra | Zendy; Biswa Binayak Mangaraj | Zendy; SK Imtiaj | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

IMPROVED ADAPTIVE BACTERIA FORAGING ALGORITHM IN OPTIMIZATION OF ANTENNA ARRAY FOR FASTER CONVERGENCE

Author(s) -

Tanumay Datta,

Iti Saha Misra,

Biswa Binayak Mangaraj,

SK Imtiaj

Publication year - 2008

Publication title -

progress in electromagnetics research c

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.341

H-Index - 34

ISSN - 1937-8718

DOI - 10.2528/pierc08011705

Subject(s) - convergence (economics) , foraging , antenna (radio) , computer science , algorithm , mathematical optimization , mathematics , telecommunications , biology , ecology , economics , economic growth

—This paper proposes an improved adaptive approach involving Bacterial Foraging Algorithm (BFA) to optimize both the amplitude and phase of the weights of a linear array of antennas for maximum,array factor at any desired direction and nulls in specific directions. The Bacteria Foraging Algorithm is made adaptive using principle of adaptive delta modulation. To show the improvement in making the algorithm adaptive, results for both adaptive and non- adaptive algorithms are given. It is found that Adaptive Bacteria Foraging Algorithm (ABFA) is capable of improving the speed of convergence as well as the precision in the desired result.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research