The Direction of Family Particle Swarm Optimization

摘要：

In our previous study, the family particle swarm optimization (FPSO) was proposed. In this study, we investigate the direction of the FPSO. To improve particles abilities of moving to the global optimization position and to accelerate the convergence of FPSO. we defined the direction coefficient and proposed the directional FPSO (dFPSO). In a family, the flight of a particle referred to the flying directions of other particles. Simulations for six benchmark functions demonstrated that with the proposed direction coefficient particles had stronger intelligence and the convergence speed was increased. Therefore, the directions of particles had very important meaning of guidance.

关键词： Particle swarm optimization(PSO) family vector direction

作者: Zhenzhou An Xinling Shi Junhua Zhang

作者单位: School of Information Science and Engineering Yunnan University Kunming,China School of Information School of Information Science and Engineering Yunnan University Kunming,China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 49-53

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）