搜救
计算机科学
分解
网格
整数规划
路径(计算)
最短路径问题
六方晶系
事件(粒子物理)
线性规划
运动规划
分解法(排队论)
数学优化
实时计算
算法
数学
人工智能
计算机网络
理论计算机科学
物理
生态学
几何学
生物
机器人
量子力学
离散数学
图形
结晶学
化学
作者
Sung Won Cho,Jinhyoung Park,Hyun Ji Park,Seongmin Kim
出处
期刊:Mathematics
[Multidisciplinary Digital Publishing Institute]
日期:2021-12-27
卷期号:10 (1): 83-83
被引量:43
摘要
In the event of a maritime accident, surveying the maximum area efficiently in the least amount of time is crucial for rescuing survivors. Increasingly, unmanned aerial vehicles (UAVs) are being used in search and rescue operations. This study proposes a method to generate a search path that covers all generated nodes in the shortest amount of time with multiple heterogeneous UAVs. The proposed model, which is a mixed-integer linear programming (MILP) model based on a hexagonal grid-based decomposition method, was verified through a simulation analysis based on the performance of an actual UAV. This study presents both the optimization technique’s calculation time as a function of the search area size and the various UAV routes derived as the search area grows. The results of this study can have wide-ranging applications for emergency search and rescue operations.
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