水下无人系统学报2025，Vol.33Issue(6)：1111-1122,12.DOI:10.11993/j.issn.2096-3920.2025-0066
任务方案智能优选方法研究现状与展望
Research Status and Development of Intelligent Optimization Methods for Mission Schemes
王兆辰 1杨华东 2孙海文 2靳子荣2
作者信息
- 1. 中国人民解放军 91054 部队,北京,100161||海军工程大学兵器工程学院,湖北 武汉,430033
- 2. 中国人民解放军 91054 部队,北京,100161
- 折叠
摘要
Abstract
The mission environment has become more and more complex,and the tempo has obviously accelerated.As a result,the traditional manual decision-making can no longer meet the requirements.There is a strong need for an advanced decision-making system to assist decision makers in carrying out on-the-spot mission command.To better carry out the research on artificial intelligent recommendation methods for mission schemes,this paper collated the research articles in this direction in China and abroad in recent years and divided the intelligent recommendation methods into three categories,namely intelligent analysis,intelligent matching,and intelligent learning.It elaborated on the core principles,technical paths,and typical applications of various methods and simultaneously analyzed the advantages and disadvantages of the three types of methods.It identified the deficiencies of the existing methods in terms of dynamic adaptability,autonomous decision-making ability,data dependence,and credibility.Finally,the future development direction was prospected,providing valuable references for subsequent research in this field.关键词
人工智能/辅助决策/方案推荐Key words
artificial intelligence/decision-making aid/scheme recommendation分类
军事科技引用本文复制引用
王兆辰,杨华东,孙海文,靳子荣..任务方案智能优选方法研究现状与展望[J].水下无人系统学报,2025,33(6):1111-1122,12.
