Improving particle swarm optimization via adaptive switching asynchronous - synchronous update
Particle swarm optimization (PSO) is a population-based metaheuristic optimization algorithm that solves a problem through iterative operations. Traditional PSO iteration strategies can be categorized into two groups: synchronous (S-PSO) or asynchronous (A-PSO) update. In S-PSO, the performance of t...
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Main Authors: | Ab. Aziz, Nor Azlina, Ibrahim, Zuwairie, Mubin, Marizan, Nawawi, Sophan Wahyudi, Mohamad, Mohd. Saberi |
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Format: | Article |
Published: |
Elsevier B.V.
2018
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/84322/ https://doi.org/10.1016/j.asoc.2018.07.047 |
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