Stochastic Leader Gravitational Search Algorithm for Enhanced Adaptive Beamforming Technique

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 s...

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Detalles Bibliográficos
Autores principales: Darzi, Soodabeh, Islam, Mohammad Tariqul, Tiong, Sieh Kiong, Kibria, Salehin, Singh, Mandeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4638346/
https://www.ncbi.nlm.nih.gov/pubmed/26552032
http://dx.doi.org/10.1371/journal.pone.0140526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4638346/
https://www.ncbi.nlm.nih.gov/pubmed/26552032
http://dx.doi.org/10.1371/journal.pone.0140526

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