A Study of Robot path planning approach based on Improved Hybrid Optimization Algorithm

摘要：

This paper presented an improved hybrid algorithm and applied it to the robot path planning problem. Firstly, GA(Genetic Algorithm) was employed to global search and some good solutions was obtained, with the basis of these, ACO(Ant Colony Optimization) was used to take further search to get the global optimum path. Numerical examples was finally given and shown that the proposed hybrid algorithm was effective and feasible.

关键词： Robot Genetic Algorithm (GA) Ant Colony Optimization (ACO) path planning hybrid optimal algorithm

作者: Kai Zhao Sheag-jin Li Feng Zhao

作者单位: Northwestern Polytechnic University,Shanxi 710072 Noth China University of Water Resources Electric Northwestern Polytechnic University,Shanxi 710072

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 197-201

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）