This paper discusses major contributions in the convergence analysis of PSO. A systematic classification will be used for the review purpose.
The PSO convergence analysis investigates whether a global optimal solution can be reached when particle swarm converges. Jiang et al. [8] presented a ...
Much attention has been paid to the improvements of. PSO itself, such as the improvement of its parameters, including the inertia weight and convergence factor, ...
Feb 13, 2024 · The convergence analysis determines whether a global optimum solution can be achieved when a particle swarm converges. Using stochastic process ...
This paper discusses major contributions in the convergence analysis of PSO. A systematic classification will be used for the review purpose. Possible future ...
Oct 22, 2024 · A review on different approaches used to analyse the convergence of particle swarm optimization based on different conditions like constant ...
The convergence analysis is among the key theoretical studies in PSO. This paper discusses major contributions in the convergence analysis of PSO. A systematic ...
Particle swarm optimization (PSO) is a very popular, randomized, nature- inspired meta-heuristic for solving continuous black box optimization prob-.
Dec 31, 2013 · The basic principles of standard PSO are elaborated and the existing work on the convergence analyses of PSO in the literatures is ...
This paper is devoted to a rigorous analysis of one dimensional Particle Swarm Optimization (PSO) for non convex objective function.
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