[1]于君 刘弘.基于ABC算法的群体动画研究与应用[J].计算机技术与发展,2011,(10):222-225.
 YU Jun,LIU Hong.Research and Implementation of Group Animation Based on Artificial Bee Colony Algorithm[J].,2011,(10):222-225.
点击复制

基于ABC算法的群体动画研究与应用()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年10期
页码:
222-225
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Implementation of Group Animation Based on Artificial Bee Colony Algorithm
文章编号:
1673-629X(2011)10-0222-04
作者:
于君 刘弘
山东师范大学信息科学与工程学院
Author(s):
YU Jun LIU Hong
School of Information Science and Engineering, Shandong Normal University
关键词:
PSO算法群体动画人工蜂群算法
Keywords:
Particle Swarm Optimization algorithm( PSO) group animation Artificial Bee Colony Algorithm ( ABC
分类号:
TP399
文献标志码:
A
摘要:
对群体行为的模拟一直是动画研究领域的重点,如何表现出个体运动的独立性以及群体运动的整体性是群体行为模拟的难点所在,同时传统的群体动画制作手段工作量大,制作出的效果不能满足人们的需求。针对此问题文中将人工蜂群算法应用于群体行为模拟路径规划中,并针对群体动画的特征进行修改,从而产生一种新的简单、高效的制作群体动画的方法。仿真实验表明改进后的人工蜂群算法能够真实模拟出群体在运动过程中的心里状态及群体运动行为
Abstract:
Simulating group behavior is always a hot issue in computer animation. The difficulty is how to show the independence of indi- vidual behavior and the wholeness of group behavior and tradition means made a heavy workload and the effect can't satisfy people's needs. This paper will apply Artificial Bee Colony Algorithm(ABC) to simulate the behavior of group behavior for this problem,and modified aiming at characteristics of group behavior animation, create a new method to generate group animation quickly. The simulation experiments proof that the improved ABC algorithm can simulate the psychological condition of the group in the moving process and group behavior in an actual way

相似文献/References:

[1]职为梅 王芳 范明 杨勇.并行环境下的同步异步PSO算法[J].计算机技术与发展,2009,(03):123.
 ZHI Wei-mei,WANG Fang,FAN Ming,et al.Synchronous and Asynchronous PSO Algorithm of Parallel Circumstance[J].,2009,(10):123.
[2]王书宇 李龙澍 汪群山.改进的协同进化遗传算法在机器博弈中的应用[J].计算机技术与发展,2008,(12):4.
 WANG Shu-yu,LI Long-shu,WANG Qun-shan.Application of Co- evolution and PSO Algorithm in Machine Game[J].,2008,(10):4.
[3]李媛媛 刘弘.基于遗传算法的NURBS模型群体生成方法[J].计算机技术与发展,2011,(01):38.
 LI Yuan-yuan,LIU Hong.Method of Building a Group of NURBS Models Based on Genetic Algorithm[J].,2011,(10):38.
[4]段艳明. 基于PSO算法和BP神经网络的PID控制研究[J].计算机技术与发展,2014,24(08):238.
 DUAN Yan-ming. Research of PID Control Based on BP Neural Network and PSO Algorithm[J].,2014,24(10):238.
[5]许少华,张宇航,宋美玲,等. 基于特征识别与PSO结合的地层对比算法[J].计算机技术与发展,2015,25(05):37.
  A Stratigraphic Correlation Algorithm Based on Characteristics Identification and PSO[J].,2015,25(10):37.
[6]张路,林勇康,艾昕晨,等.基于PSO算法的CT系统标定模板的优化设计[J].计算机技术与发展,2018,28(11):203.[doi:10.3969/j.issn.1673-629X.2018.11.044]
 ZHANG Lu,LIN Yong-kang,AI Xin-chen,et al.Optimization Design of CT System Calibration Template Based on PSO[J].,2018,28(10):203.[doi:10.3969/j.issn.1673-629X.2018.11.044]

备注/Memo

备注/Memo:
山东省教育厅科技发展计划项目(J08LJ14)于君(1987-),女,山东德州人,硕士,主要研究领域为群体动画
更新日期/Last Update: 1900-01-01