Path Planning Methods in Evacuation Environments and Entertainment Environments

摘要：

In the crowd simulation fields for evacuation environments and entertainment environments, computing optimal path and reducing computational cost are both very important, therefore,many researchers have put great efforts on these two issues. But the optimal path in complex environments is not easy to solve effectively and quickly. In this paper, we introduce 3 improved methods using genetic algorithm, artificial potential field and social force respectively.

关键词： Crowd simulation muhi-ezit evacuation path path planning genetic algorithm artificial potential field social force

作者: Qingge Ji Jingjing Li Ning Mou Jiahao Li Xiaola Lin

作者单位: School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510275, P.R.C.Key L School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510275, P.R.C.Schoo School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510275,P.R.C.School School of Information Science and echnology, Sun Yat-sen University, Guangzhou, 510275, P.R.C.Key La

会议类型: 国际会议

会议名称: 第四届计算机游戏开发技术研究国际会议(International Conference on Games Research and Development)

会议地点: 北京

会议语种:英文

页码: 174-177

在线出版日期: 2008-10-01（万方平台首次上网日期，不代表论文的发表时间）