基于混沌动态步长布谷鸟算法的群体动画行为控制方法研究  

Research on group animation behavior control method based on chaotic dynamic step cuckoo algorithm

作　　者：李月[1] 王敏[2] LI Yue;WANG Min(Wuhan Institute of Technology,Wuhan 430000,China;Hubei University of Technology,Wuhan 430000,China)

机构地区：[1]武汉工程大学,湖北武汉430000 [2]湖北工业大学,湖北武汉430000

出　　处：《现代电子技术》2020年第1期35-39,共5页Modern Electronics Technique

基　　金：湖北省教育厅人文社科项目（16Q101）

摘　　要：自然界生物的迁徙具有一定规律,其会自动形成群体集合,队列排序具有一定的规律。群体动画行为是基于生物的迁徙规律得来的。首先对布谷鸟算法进行深入研究,而后以混沌动态步长布谷鸟算法为基础依据,进行相应的群体动画的仿真模拟。布谷鸟算法当中混沌序列的引入能够使鸟窝数据在更新过程中进行步长选择,防止局部最优的情况发生。实验结果表明,在群体动画行为的控制方法中,应用混沌动态步长布谷鸟算法要优于传统的布谷鸟算法。The migration of animals in nature has a certain law,can autometically form groups,and their queues also has certain sequential laws.The behavior of group animation is got on the basis of the migration law of biology,so the cuckoo algorithm is studied in depth,and the analogue simulation corresponding to group animation is carried out based on the chaotic dynamic growth cuckoo algorithm.The introduction of chaotic sequence can make step size selected in the updating process of the bird nest data and the local optimization prevented.The experimental results show that the chaotic dynamic step cuckoo algorithm is better than the traditional cuckoo algorithm in the control of group animation behavior.

关 键 词：布谷鸟算法 混沌动态步长 群体动画行为 改良算法 控制方法 仿真模拟 

分 类 号：TN911.1-34[电子电信—通信与信息系统]