A Fast Collision Detection Algorithm Based on Multi-Agent Particle Swarm Optimization

被引：0
|
作者：
Fu Yue-wen [1 ]
Liang Jia-hong [1 ]
Hu Xiao-qian [1 ]
Yang Shan-liang [1 ]
机构：
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410072, Hunan, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2013) | 2013年
关键词：
Multi-agent; Hierarchical Topological Structure; Particle Swarm Optimization; Collision Detection;
D O I：
10.1109/ICVRV.2013.52
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a fast collision detection algorithm based on multi-agent particle swarm optimization (MPSO) is proposed. We use the stochastic method to convert the collision detection problem into a nonlinear optimization problem in the distance mechanism. Combined with the evolution strategy of particle swarm optimization and the multi-agent system technology, a multi-agent particle swarm optimization based on the hierarchical topology structure is presented for the problem. The simulation results prove that this algorithm has a good optimal searching performance and it can satisfy the real-time requirement.
引用
收藏
页码：269 / 272
页数：4
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