title: Stochastic Leader Gravitational Search Algorithm for Enhanced Adaptive Beamforming Technique.
abstract: 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 SL-GSA is applied to minimum variance distortionless response (MVDR) beamforming technique to ensure compatibility with real world optimization problems. The proposed algorithm demonstrates 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.
authors.affiliation: Center for Space Science (ANGKASA), Universiti Kebangsaan Malaysia, Selangor, Malaysia.
authors.forename: Soodabeh
authors.initials: S
authors.lastname: Darzi
authors.affiliation: Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
authors.forename: Mohammad Tariqul
authors.initials: MT
authors.lastname: Islam
authors.affiliation: Center of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, Selangor, Malaysia.
authors.forename: Sieh Kiong
authors.initials: SK
authors.lastname: Tiong
authors.affiliation: Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
authors.forename: Salehin
authors.initials: S
authors.lastname: Kibria
authors.affiliation: Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
authors.forename: Mandeep
authors.initials: M
authors.lastname: Singh
mesh_terms: D000465:Algorithms; D008872:Microwaves; D008962:Models, Theoretical; D011897:Random Allocation; D057386:Search Engine / Q000379:methods*; D059015:Wireless Technology