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• W4385971569 abstract "Particle swarm optimization (PSO) is one of the popular nature-inspired metaheuristic algorithms. It has been used in different applications. The convergence analysis is among the key theoretical studies in PSO. This paper discusses major contributions in the convergence analysis of PSO. A systematic classification will be used for the review purpose. Possible future works are also highlighted as to investigate the performance of PSO variants to deal with COPs through theoretical perspective and general discussions on experimental results on merits of the proposed approach." @default.
• W4385971569 created "2023-08-19" @default.
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• W4385971569 date "2023-08-18" @default.
• W4385971569 modified "2023-10-14" @default.
• W4385971569 title "A Review on Convergence Analysis of Particle Swarm Optimization" @default.
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• W4385971569 doi "https://doi.org/10.4018/ijsir.328092" @default.
• W4385971569 hasPublicationYear "2023" @default.
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