Research on configuration and scheduling model of aerial disaster response system

被引：0

作者：

Fang, Ziwei ^{[1
]}

Zhu, Yongyan ^{[1
]}

Zhang, Shikun ^{[1
]}

Zhang, Huaizheng ^{[1
]}

Zhang, Hui ^{[1
]}

Xie, Yunyun ^{[1
]}

机构：

[1] Wuhan Railway Vocat Coll Technol, Hubei, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年

关键词：

Unmanned aerial vehicles; simulated annealing; multi-target planning;

D O I：

10.1109/itaic.2019.8785822

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an important part of three-dimensional rescue, air rescue has become a closely watched hotspot for natural disasters. Through the United States in 2017 in Puerto Rico, hurricane disaster situation analysis, we propose a simulated annealing algorithm and a comprehensive coordination and optimization model based on multiple targets, multiple constraints, which is used to solve the location of storage points, UAV selection, formulation of delivery route and memory combination mode. Finally, our models were verified, at the same time, we provide intelligent decision support and exhibit a new way for the actual construction of decision support system.

引用

页码：1431 / 1436

页数：6

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