Inertia weight strategies in GbLN-PSO for optimum solution

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Inertia weight strategies in GbLN-PSO for optimum solution

Particle Swarm Optimization (PSO) is the popular metaheuristic search algorithm that is inspired by the social learning of birds and fish. In the PSO algorithm, inertia weight is an important parameter to determine the searching ability of each particle. When the selected inertia weight is not suita...

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Bibliographic Details
Main Authors:	Nurul Izzatie Husna, Fauzi, Zalili, Musa
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/40373/ http://umpir.ump.edu.my/id/eprint/40373/1/Inertia%20weight%20strategies%20in%20GbLN-PSO%20for%20optimum%20solution.pdf http://umpir.ump.edu.my/id/eprint/40373/2/Inertia%20weight%20strategies%20in%20GbLN-PSO%20for%20optimum%20solution_ABS.pdf

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