The new fusion algorithm in robot path planning application

摘要：

Robot path planning is an important research topic in robotics field.The paper proposes an algorithm based on the combination of Ant Colony Optimization(ACO) and Particle Swarm Optimization(PSO) for path planning.The new algorithm combines the advantages of ACO and PSO effectively and generates the distribution of the initial information for ACO by using the merits of high efficiency and concision of PSO,and then uses the advantages of parallelizablity,positive feedback and solution with high accuracy of ACO to get global optimum solution.The simution. result demonstrates the effectiveness and feasibility of the proposed algorithm.

关键词： path planning Ant Colony ptimization(ACO) Particle Swarm Optimization(PSO)

作者: Duan ai-ling Duan qiong-bo Deng gao-feng

作者单位: Schoof of Information Science and ngineering,Henan University of Technology,Zhengzhou,China Engineering College of the Armed Police Force Xian,Shaanxi,P.R.China Xian,Chain Schoof of Information Science and Engineering,HenanUniversityof Technology,Zhengzhou,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 430-434

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）