舰船电子工程2026，Vol.46Issue(3)：12-15,50,5.DOI:10.3969/j.issn.1672-9730.2026.03.004
基于改进DQN算法的海上搜救路径规划方法
Path Planning Method for Maritime Search and Rescue Based on Improved DQN Algorithm
摘要
Abstract
To address the challenges associated with search and rescue strategies and path planning for multiple task points in the complex marine environment,this paper proposes a maritime search and rescue path planning method based on improved DQN algorithm.The algorithm constructs a multi-objective reward function that integrates indicators such as path length,task completion timeliness,and environmental safety.Additionally,it can improve the stability of path decision-making and balance exploration and utilization during training based on the classical DQN framework.The experimental results demonstrate that the proposed algo-rithm can plan more efficient maritime multi-task point search and rescue paths during training,exhibiting good convergence,sta-bility,and efficiency,thereby supporting the stable and effective execution of maritime search and rescue missions.关键词
强化学习/DQN算法/海上搜救/路径规划Key words
reinforcement learning/DQN algorithm/maritime search and rescue/path planning分类
信息技术与安全科学引用本文复制引用
闫宇轩,李瑞,陈行军..基于改进DQN算法的海上搜救路径规划方法[J].舰船电子工程,2026,46(3):12-15,50,5.
