摘要
文中充分利用粒子群优化算法收敛速度快、机理简单和编码实现容易的优点,提出了一种新颖的极坐标空间粒子群路径规划方法,并将其应用于真实海图数据环境中。通过仿真实验表明改进的粒子群算法同传统的PSO算法及遗传算法相比,在解决路径规划问题上具有更快的收敛速度和更高的收敛精度。
Based on particle swarm optimization （PSO） characteristics of quick convergent speed, simple principle： and easy realization, a novel path planning method using the particle swarm optimization based on polar coordination was proposed in this paper. The simulation experiment is based on electronic chart, and the result shows that the method is more efficient and adaptive of environment than traditional particle swarm optimization algorithm and genetic algorithm for obstacle avoidance.
出处
《弹箭与制导学报》
CSCD
北大核心
2008年第4期68-70,82,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
海军预先研究基金资助
关键词
路径规划
粒子群优化笄法
电子海图
船舶导航
path planning
particle swarm optimization
electronic chart display system
ship navigation
