计算机工程2011，Vol.37Issue(4)：190-192,3.DOI:10.3969/j.issn.1000-3428.2011.04.068
移动机器人行为参数的PSO多目标优化
PSO Multi-objective Optimization for Mobile Robot Behavior Parameter
摘要
Abstract
This paper presents a multi-objective hierarchical optimization method based on Particle Swarm Optimization(PSO) algorithm for behavior parameters by analyzing the navigation task of mobile robots. To minimize the navigation time of mobile robot based on near optimal path, the behavior parameters of navigation direction and velocity are optimized by PSO-based optimization. Simulation results show that the method can improve the efficiency of optimization. it can realize the stepwise accurate decision-making, and improve the performance of robot's autonomous navigation under unknown environment.关键词
自主移动机器人/行为动力学模型/多目标分层优化/粒子群优化Key words
autonomous mobile robot/ behavior dynamics model/ multi-obiective hierarchical optimization/ Particle Swarm Optimization(PSO)分类
信息技术与安全科学引用本文复制引用
张惠娣,刘士荣..移动机器人行为参数的PSO多目标优化[J].计算机工程,2011,37(4):190-192,3.基金项目
宁波市自然科学基金资助项目(2009A610102) （2009A610102）
浙大宁波理工学院科研启动基金资助项目(1140657G801) （1140657G801）
