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

被引：0

作者：

Zhang Bi ^{[1
]}

Wang Jiayang ^{[1
]}

Li Zuoyong ^{[1
]}

机构：

[1] Chengdu Univ Informat Technol, Chengdu 610041, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年

关键词：

Particle swarm optimization; Parameter optimization; Street-Phelps model; inertial adjustment method;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：493 / 494

页数：2

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