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Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique

controlled clinical trial; human; leadership; randomization; randomized controlled trial; stochastic model; algorithm; microwave radiation; procedures; search engine; theoretical model; wireless communication; Algorithms; Microwaves; Models, Theoretical; Random Allocation; Search Engine; Wireless Te...

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Main Authors: Darzi S., Islam M.T., Tiong S.K., Kibria S., Singh M.
Other Authors: 55651612500
Format: Article
Published: Public Library of Science 2023
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spelling my.uniten.dspace-222172023-05-29T13:59:40Z Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique Darzi S. Islam M.T. Tiong S.K. Kibria S. Singh M. 55651612500 55328836300 15128307800 55637259500 13105366200 controlled clinical trial; human; leadership; randomization; randomized controlled trial; stochastic model; algorithm; microwave radiation; procedures; search engine; theoretical model; wireless communication; Algorithms; Microwaves; Models, Theoretical; Random Allocation; Search Engine; Wireless Technology In this paper, stochastic leader gravitational search algorithm (SL-GSA) based on randomized k is proposed. Standard GSA (SGSA) utilizes the best agents without any randomization, thus it is more prone to converge at suboptimal results. Initially, the new approach randomly choses k agents from the set of all agents to improve the global search ability. Gradually, the set of agents is reduced by eliminating the agents with the poorest performances to allow rapid convergence. The performance of the SL-GSA was analyzed for six well-known benchmark functions, and the results are compared with SGSA and some of its variants. Furthermore, the SLGSA is applied to minimum variance distortionless response (MVDR) beamforming technique to ensure compatibility with real world optimization problems. The proposed algorithmdemonstrates superior convergence rate and quality of solution for both real world problems and benchmark functions compared to original algorithm and other recent variants of SGSA. � 2015 Darzi et al. Final 2023-05-29T05:59:40Z 2023-05-29T05:59:40Z 2015 Article 10.1371/journal.pone.0140526 2-s2.0-84952705618 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952705618&doi=10.1371%2fjournal.pone.0140526&partnerID=40&md5=20502999c5a21a8108c23e2ca73ca468 https://irepository.uniten.edu.my/handle/123456789/22217 10 11 e0140526 All Open Access, Gold, Green Public Library of Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description controlled clinical trial; human; leadership; randomization; randomized controlled trial; stochastic model; algorithm; microwave radiation; procedures; search engine; theoretical model; wireless communication; Algorithms; Microwaves; Models, Theoretical; Random Allocation; Search Engine; Wireless Technology
author2 55651612500
author_facet 55651612500
Darzi S.
Islam M.T.
Tiong S.K.
Kibria S.
Singh M.
format Article
author Darzi S.
Islam M.T.
Tiong S.K.
Kibria S.
Singh M.
spellingShingle Darzi S.
Islam M.T.
Tiong S.K.
Kibria S.
Singh M.
Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
author_sort Darzi S.
title Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
title_short Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
title_full Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
title_fullStr Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
title_full_unstemmed Stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
title_sort stochastic leader gravitational search algorithm for enhanced adaptive beamforming technique
publisher Public Library of Science
publishDate 2023
_version_ 1806427468474613760
score 13.222552

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