Fractional-order particle swarm optimization

摘要：

　　By introducing the fractional-order difference into the updating formulas of the velocity and position,fractional-order particle swarm optimization algorithm is proposed.The effects on the convergence rate and accuracy are analyzed,by introducing fractional-orders in the updating formulas for the velocity and position.Moreover,the linear increasing methods to adjust the fractional-orders are proposed.Compared with the standard particle swarm optimization algorithm,the higher convergence rate is achieving to improve the accuracy of the optimal result.Finally,five standard functions are tested,and the results of the numerical experiments illustrate the effectiveness of the fractional-order particle swarm optimization.

关键词： Particle swarm optimization algorithm Fractional-order difference Linear increasing method

作者: Zhe Gao Junxiu Wei Chao Liang Ming Yan

作者单位: College of Light Industry,Liaoning University,Shenyang 110036,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 1284-1288

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）