任务(项目管理)
钥匙(锁)
计算机科学
领域(数学)
功能(生物学)
聚类分析
热情
职位(财务)
分布式计算
人工智能
运筹学
人机交互
系统工程
工程类
计算机安全
纯数学
进化生物学
经济
生物
社会心理学
数学
心理学
财务
作者
Chaoqun Wang,Dan Mei,Yu Wang,Xiwen Yu,Wen Sun,Dong Wang,Junquan Chen
标识
DOI:10.1016/j.oceaneng.2022.112911
摘要
Systematization, and clustering, as the next key direction for AUVs to perform their functions, is becoming an area of enthusiasm among related researchers. And this must be inseparable from task allocation. Task allocation, as we all know, is the implementation of an AUV subtask allocation based on the position, attitude, and status of each AUV in the region after the multi-AUV system is assigned the overall task. Due to the different forms of tasks, AUVs with the same function may be required to perform a certain task, and there is also the possibility that a complex task requires heterogeneous AUV clusters to cooperate to accomplish it. To flexibly cope with different situations, corresponding allocation algorithms have been designed by predecessors. The purpose of this paper is to analyze the existing literature on the models and algorithms of task allocation for multi-AUV system and to provide a macroscopic impression for researchers in this field to improve their algorithms more comprehensively. The paper roughly classifies the algorithms into centralized and distributed. Also, it covers the enumeration of key algorithms, the analysis of the principles, the application situations, and the comparison of advantages and disadvantages; finally, we look forward to the future directions worthy of further research in this field and provides references.
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