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- W2357685575 abstract "To prevent the problem of premature convergence frequently appeared in the particle swarm optimization(PSO),a method is proposed,which selects particles stochastically to perform the conjugate gradient algorithm when the PSO stagnates.The calculation information of the conjugate gradient algorithm is employed to affect the update of the particle speed so as to maintain the particle activation and avoid local optima.Unlike the existing PSO algorithms,the presented method integrates the global search ability of the PSO and the powerful local search ability of the conjugate gradient algorithm.Thus,the problem of premature convergence of the PSO algorithm is prevented.Simulation results show that the method has better performance for different dimensioned nonlinear functions." @default.
- W2357685575 created "2016-06-24" @default.
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- W2357685575 date "2008-01-01" @default.
- W2357685575 modified "2023-10-11" @default.
- W2357685575 title "A kind of hybrid optimization algorithm with prevention of premature convergence of particle swarm" @default.
- W2357685575 hasPublicationYear "2008" @default.
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