基于智能算法的舰船避碰行动策略技术研究  

Research on ship collision avoidance action strategy technology based on intelligent algorithm

作　　者：苏娜[1] 周雪芳[1] SU Na;ZHOU Xuefang(Qingdao Huanghai University,Qingdao 266555,China)

机构地区：[1]青岛黄海学院,山东青岛266555

出　　处：《舰船科学技术》2025年第6期149-153,共5页Ship Science and Technology

基　　金：山东省高等学校科技计划项目(J17KB153)。

摘　　要：快速且准确地制定舰船避碰行动方案对保证舰船安全及作战能力具有重要意义。本文将智能算法应用到舰船避碰行动策略制定中,从环境适应性、复杂场景处理能力以及实时性等3个方面对遗传算法、粒子群优化算法以及神经网络算法进行比较,以避碰成功率、避碰时间、收敛速度为指标,对多种智能算法进行仿真分析,结果表明GA-PSO算法优于其他算法,提出了基于GA-PSO的舰船避碰行动策略。It is of great significance to formulate the collision avoidance action plan quickly and accurately to ensure the safety and combat capability of the ship.The intelligent algorithm is applied to the formulation of ship collision avoidance action strategy,and the genetic algorithm,particle swarm optimization algorithm and neural network algorithm are compared from three aspects,including environmental adaptability,complex scene processing ability and real-time performance.The success rate of collision avoidance,collision avoidance time and convergence speed are taken as indicators to conduct simulation analysis on multiple intelligent algorithms.The results show that GA-PSO algorithm is superior to other algorithms.Finally,a collision avoidance strategy based on GA-PSO is proposed.

关 键 词：GA-PSO 避碰 舰船 行动策略 

分 类 号：U675.79[交通运输工程—船舶及航道工程]