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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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/40373/ https://doi.org/10.1109/ICSECS58457.2023.10256385 |
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http://umpir.ump.edu.my/id/eprint/40373/1/Inertia%20weight%20strategies%20in%20GbLN-PSO%20for%20optimum%20solution.pdfhttp://umpir.ump.edu.my/id/eprint/40373/2/Inertia%20weight%20strategies%20in%20GbLN-PSO%20for%20optimum%20solution_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40373/
https://doi.org/10.1109/ICSECS58457.2023.10256385