摘要
舰船导航路径规划是保证航行安全的重要基础,受海上航行障碍物分布复杂、船舶数量增多、航行环境难以预测等多种因素的影响,增加了舰船航行的风险。为有效规避风险,寻求最优的航行路径,必须采用人工智能优化算法规划航行路径,求得多轨迹的最优航行路径,保证舰船安全到达目的地。本文介绍舰船导航路径规划的关键技术,提出人工智能优化算法中的人工粒子群算法在舰船导航路径规划中的应用,并对实际应用效果进行实验仿真。
The navigation path planning of a ship is an important foundation for ensuring the safety of navigation.Due to the complex distribution of navigation obstacles at sea,the increase in the number of ships,and the unpredictability of the navigation environment,etc.,increase the risk of ship navigation.In order to effectively avoid risks and seek the optimal navigation path,an artificial intelligence optimization algorithm must be used to plan the navigation path,and the optimal navigation path with multiple trajectories must be obtained to ensure that the ship reaches the destination safely.This paper introduces the key technology of ship navigation path planning,proposes the application of artificial particle swarm optimization algorithm in artificial intelligence optimization algorithm in ship navigation path planning,and conducts experimental simulation of the actual application effect.
作者
毕智超
BI Zhi-chao(Shaanxi Vocational and Technical College,Xi'an 710038,China)
出处
《舰船科学技术》
北大核心
2020年第18期43-45,共3页
Ship Science and Technology
关键词
人工智能化
算法
舰船
导航
artificial intelligence
algorithm
ship
navigation
