无人舰应急处理路径规划
Path planning of unmanned ship emergency management
李兰英 1蒋维成 1周玲 1黄静 1彭欢1
作者信息
- 1. 成都理工大学工程技术学院电子信息与计算机工程系,四川乐山 614000
- 折叠
摘要
为了解决无人舰多目标应急处理中复杂的路径规划问题,提出了一种融合案例推理的蚁群算法.对无人舰应急处理历史案例的特征属性进行提取,构建案例推理知识库,采用映射规则将案例中符号值数据转化为数值型数据,使用知识进行推理计算.对蚁群算法进行改进,启发函数中加入事件距离,根据事发状况和各目标点情况进行推理,采用改进的蚁群算法结合案例推理对无人舰多目标应急处理的路径进行规划.实验结果表明,所提出算法在多目标应急处理中更加有效,优先处理最需要的问题,提高应急处理的效率.
Abstract
To solve the complex path planning problem in multi-objective emergency of unmanned ship,an ant colony algorithm based on case-based reasoning is proposed.The feature properties of the historical ca-ses of unmanned ship emergency management are extracted to build the case-based reasoning knowledge base.The symbolic data in case are transformed into numerical data by mapping rules,which is convenient for reasoning and calculation.The ant colony algorithm is improved and the event distance is added to the heuristic function.The situation of targets is analyzed by case-based reasoning.The improved ant colony al-gorithm on case-based reasoning is used to plan the path of multi-objective emergency.The experiment re-sults show that the proposed algorithm is more effective.Emergencies are given priority,improving the effi-ciency.
关键词
应急事件/案例推理/蚁群算法/路径规划/事件距离Key words
emergency events/case-based reasoning/ant colony algorithm/path planning/event distance引用本文复制引用
基金项目
乐山市科技局项目(22GZD037)
乐山市哲学社会科学规划课题(SKL2021D14)
成都理工大学工程技术学院基金项目(C122022001)
出版年
2024
NETL
NSTL
万方数据