A Review on Convergence Analysis of Particle Swarm Optimization

Dereje Tarekegn, Surafel Tilahun and Tekle Gemechu
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Dereje Tarekegn: Adama Science and Technology University, Ethiopia
Surafel Tilahun: Addis Ababa Science and Technology University, Ethiopia
Tekle Gemechu: Adama Science and Technology University, Ethiopia

International Journal of Swarm Intelligence Research (IJSIR), 2023, vol. 14, issue 1, 1-34

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.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:14:y:2023:i:1:p:1-34

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