计算机应用研究2012，Vol.29Issue(5)：1710-1712,3.DOI:10.3969/j.issn.1001-3695.2012.05.028
基于改进粒子群三次Bezier曲线优化的路径规划
Path planning algorithm based on improved particle swarm optimization of Bezier curves
摘要
Abstract
To get an optimal smooth path for a mobile robot in an obstacle environment, this paper proposed a novel path planning approach using improved particle swarm optimization with a path descript by string of Bezier curves. Described the path by string of Bezier curves, thus the path planning could be converted to some limited points location that generated Bezier curves optimization problem. Then,found out the optimal path by the cognitive factor with index change particle swarm optimization algorithm. The simulation results show that the proposed algorithm has effectively collision-free path planning and strong capability of preventing premature convergence.关键词
路径规划/粒子群算法/贝塞尔曲线/优化算法Key words
path planning/particle swarm optimization/Bezier curves/optimized algorithm分类
信息技术与安全科学引用本文复制引用
朱东伟,毛晓波,陈铁军..基于改进粒子群三次Bezier曲线优化的路径规划[J].计算机应用研究,2012,29(5):1710-1712,3.基金项目
国家教育部高等学校博士学科点专项科研基金资助课题(20114101110005) （20114101110005）
河南省重大科技攻关子项目(102101210100) （102101210100）
河南省教育厅科学技术研究重点计划资助项目(12A410002) （12A410002）
