基于群体动画角色自动控制的改进布谷鸟算法  

An improved Cuckoo search algorithm based on automatic control of group animation character

作　　者：陈凤月 CHEN Fengyue(Anyang University,Anyang 455000,China)

机构地区：[1]安阳学院

出　　处：《现代电子技术》2019年第23期58-61,66,共5页Modern Electronics Technique

摘　　要：群体动画的出现把计算机动画提升至新的层次,自主行为控制方法在控制复杂群体动画角色行为时,控制规则的制定存在一定难度,行为控制连贯性较差。提出一种基于群体动画角色行为自动控制的改进布谷鸟算法,采用群体动画角色集聚行为分析方法,分析群体动画角色集聚行为的塑造目标,根据该目标通过改进的布谷鸟搜索算法获取当下全局最优行为与前阶段群体动画行为相衔接,实现群体动画角色行为自动控制。经验证,所提方法可应用于群体动画角色行为自动控制中,在复杂与简单两种不同类型的群体动画角色行为控制中,该方法控制误差较小,且控制复杂度较小,控制后的群体动画角色行为连贯性较高,动画角色行为衔接性较好。The emergence of group animation has promoted computer animation to a new level. The formulation of control rules is somewhat difficult and the coherence of behavior control is poor when using autonomous behavior control method to control the complex group animation character behavior. In view of the above,an improved Cuckoo search algorithm based on automatic control of group animation character behavior is proposed,which uses the method of group animation character aggregation behavioral analysis to analyze the shaping goal of group animation character aggregation behavior. According to this goal and by the improved Cuckoo search algorithm,the global optimal behavior at present is connected with the group animation behavior at the previous stage to realize the automation control of group animation character behavior. The verification results show that the proposed method can be applied to the automatic control of group animation character behavior;in the control of the complex and simple group animation character behaviors,the control error of the method is small and the control complexity is low;after control,the coherence of group animation character behavior is high,and the cohesion of animation character behavior is good.

关 键 词：布谷鸟算法 群体动画 角色行为 自动控制 控制复杂度 控制规则 

分 类 号：TN911.1-34[电子电信—通信与信息系统] TP242.6[电子电信—信息与通信工程]