Particle Swarm Optimization algorithm Based on Variable Metric Method and its application of non-linear equations

摘要：

In this paper, particle swarm optimization algorithm based ori 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 characterishcs 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.

关键词： Global Optiruzation Particle swarm optimization algorithm variable metric algorithm nonlinear equations

作者: GAO Lei-fu Qi Wei LIU Xu-wang

作者单位: Institute of Mathematics and Systems Science, Liaoning Technical University, Liaoning,Fuxin,123000

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 514-518

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）