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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, particle swarm optimization algorithm based on variable metric method is proposed for the defects of elementary particle swarm optimization algorithm “premature” and the parameter setting. The algorithm uses fast local convergence characteristics of the variable metric method, so that the improved algorithm can jump out of local optimal solution effectively, and can also search the global optimal solution quickly. Simulation results show that the new algorithm improves the accuracy of the optimal solution and optimization efficiency; also demonstrate that the new algorithm has better robustness, and then the improved algorithm is successfully applied to solve the problem of nonlinear equations.