Research on Multiple AUVs Task Allocation with Energy Constraints in Underwater Search Environment

被引:0
|
作者
Wang, Hailin [1 ,2 ,3 ]
Li, Yiping [1 ,2 ,3 ]
Li, Shuo [1 ,2 ,3 ]
Xu, Gaopeng [2 ,3 ]
机构
[1] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China
[3] Key Lab Marine Robot, Shenyang 110016, Peoples R China
基金
中国国家自然科学基金;
关键词
multiple AUVs; task allocation; underwater search; constraint programming;
D O I
10.3390/electronics13193852
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The allocation of tasks among multiple Autonomous Underwater Vehicles (AUVs) with energy constraints in underwater environments presents an NP-complete problem with far-reaching consequences for marine exploration, environmental monitoring, and underwater construction. This paper critically examines the contemporary methodologies and technologies in the task allocation for multiple AUVs, with a particular focus on strategies that optimize navigation time with energy consumption constraints. By conceptualizing the multiple AUVs task allocation issue as a Capacitated Vehicle Routing Problem (CVRP) and addressing it using the SCIP solver, this study seeks to identify effective task allocation strategies that enhance the operational efficiency and minimize the mission duration in energy-restricted underwater settings. The findings of this research provide valuable insights into efficient task allocation under energy constraints, providing useful theoretical implications and practical guidance for optimizing task planning and energy management in multiple AUVs systems. These contributions are demonstrated through the improved solution quality and computational efficiency.
引用
收藏
页数:13
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