A Fast Collision Detection Algorithm Based on Multi-Agent Particle Swarm Optimization
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 multiagent 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.
Multi-agent Hierarchical Topological Structure Particle Swarm Optimization Collision Detection
FU Yue-wen LIANG Jia-hong HU Xiao-qian YANG Shan-liang
College of information system and management,National University of Defense Technology,Changsha,410072,China
国际会议
西安
英文
269-272
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）