A Simulated Pursuit Algorithm

Liu Wei; Xie Yue-shan

doi:10.3969/j.issn.1007-7162.2016.02.006

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A Simulated Pursuit Algorithm

更新时间：2026-05-27

- A Simulated Pursuit Algorithm
- Vol. 33, Issue 2, Pages: 31-36(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2016.02.006
  CLC：
- Online First：23 March 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
刘伟, 谢月珊. 模拟追逐算法[J]. 广东工业大学学报, 2016, 33(2): 31-36.

Liu Wei, Xie Yue-shan. A Simulated Pursuit Algorithm[J]. 2016, 33(2): 31-36.
刘伟, 谢月珊. 模拟追逐算法[J]. 广东工业大学学报, 2016, 33(2): 31-36. DOI： 10.3969/j.issn.1007-7162.2016.02.006.

Liu Wei, Xie Yue-shan. A Simulated Pursuit Algorithm[J]. 2016, 33(2): 31-36. DOI： 10.3969/j.issn.1007-7162.2016.02.006.

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.

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.

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