Parameter optimization of Street-Phelps model based on Particle swarm optimization

摘要：

　　Particle swarm optimization (PSO) is introduced and tried to optimize the parameters of Street-Phelps model.Here,the inertial adjustment method was used to adopt the inertial weight of PSO.Parameters of Street-Phelps model were optimized by PSO,the performance is compared with other method.Results show that PSO plays an important role in solving global optimization problem,and demonstrate the effectiveness and higher accuracy than other methods.

关键词： Particle swarm optimization Parameter optimization Street-Phelps model inertial adjustment method

作者: Zhang Bia Wang Jiayang Li Zuoyong

作者单位: Chengdu University of Information Technology, Chengdu 610041, China

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 370-373

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）