广东工业大学学报 ›› 2016, Vol. 33 ›› Issue (02): 31-36.doi: 10.3969/j.issn.1007-7162.2016.02.006

• 综合研究 • 上一篇    下一篇

模拟追逐算法

刘伟,谢月珊   

  1. 广东工业大学 应用数学学院,广东 广州 510006
  • 收稿日期:2015-04-17 出版日期:2016-03-23 发布日期:2016-03-23
  • 作者简介:刘伟(1970-),男,副教授,硕士生导师,主要研究方向为优化理论、智能计算.
  • 基金资助:

    国家自然科学基金资助项目(61202269)

A Simulated Pursuit Algorithm

Liu Wei, Xie Yue-shan   

  1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2015-04-17 Online:2016-03-23 Published:2016-03-23

摘要:

提出了一种群体智能算法——模拟追逐算法.该算法模拟长跑比赛运动员追逐竞争过程,设计了追逐算子与探测算子.领先个体执行探测算子操作以便获得更优位置,落后个体为取得竞争优势,设定追赶目标,执行追逐算子操作,完成跟随超越,从而实现群体进化寻优.仿真实验表明,模拟追逐算法有较快的收敛速度和较高的求解精度,是一种稳定的优化算法.

关键词: 模拟追逐;智能算法;探测算子;追逐算子

Abstract:

A new simulated pursuit intelligent swarm algorithm is proposed. In the process of pursuit for athletes simulated in Long-distance Race, a pursuit operator and an exploring operator are presented. In the algorithm, the leader uses an exploring operator to obtain the better position, and the rest of individuals often use a pursuit operator to follow or surpass competitors and the population evolution is realized. The simulation results show that simulated pursuit algorithm is an effective and robust method with better solution accuracy and higher convergence speed.

Key words: simulated pursuit; intelligent algorithm; exploring operator; pursuit operator

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