Path Planning for Aircraft Based on MAKLINK Graph Theory and Multi Colony Ant Algorithm

摘要：

The task of path planning for aircraft has received considerable attention in the research literature. The problem involves computing a collision-free path between a start point and a target point in environment of known obstacles. In this paper, we investigate an obstacle avoidance path planning problem using the MAKLINK graph theory and multi ant colony system, in which several colonies of ants cooperate in finding optimal solution by exchanging good information. The result of computer simulation experiment shows that the proposed method is effective and can be used in the path planning of aircraft.

作者: Yanling Hao Zhifeng Shen Yuxin Zhao

作者单位: College of Automation, Harbin Engineering University, Harbin, 150001, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1282-1285

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）