Multi-objective Path Planning for Unmanned Aeria Vehicle Based on Mixed Integer Programming

被引：0
|
作者：
Hao, Yuehong [1 ]
Li, Boyu [1 ]
Shao, Lizhen [1 ]
Zhang, Yangfan [1 ]
Cui, Jiarui [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
path planning; mixed integer programming; elastic constraint;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we formulate the unmanned aerial vehicle path planning problem as a multi-objective mixed integer programming problem. We minimize the fuel and time consumption at the same time. The elastic constraint method for multi-objective optimization is used to solve the problem. Experiment results show the trade off information between the two objectives, and the effectiveness of our proposed method.
引用
收藏
页码：7035 / 7039
页数：5
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