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- W1594421167 abstract "In order to prevent premature convergence of constriction factor particle swarm optimization (cfPSO), an improved version of cfPSO is presented in this paper. Firstly, a new standard of premature convergence was set up to determine the algorithm relapsing into local extremum. Then an improved re-initialization method was design to insure the uniform distribution of swarm in search space. In this method, the search space was divided into S, the size of swarm, sub-spaces. Each particle was reinitialized in respectively sub-space. At the same time, all particles were compelled to clear its memory. Simulation results show that the performance was improved significantly." @default.
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- W1594421167 date "2010-07-29" @default.
- W1594421167 modified "2023-09-23" @default.
- W1594421167 title "An improved constriction factor PSO to prevent premature convergence" @default.
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