Particle Swarm Optimization Algorithm with Asymmetric Time Varying Acceleration Coefficients

摘要：

To update the performance of the standard optimization method, a modified particle swarm optimization (MPSO) algorithm is proposed based on the earlier works. An asymmetric time-varying acceleration coefficients adjusting strategy introduced in this paper is to keep the balance between the global search and the local search with the great advantages of convergence property and robustness compared with basic PSO algorithm. The relationship between swarm average velocity and convergence is studied through Benchmark test functions simulation. All the merits mentioned above are demonstrated by the compound gear transmission ratio optimization in transmission systems.

作者: G. Q. Bao K. F. Mao

作者单位: Electrical Engineering Department,Gansu University of Technology,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 2134-2139

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）