Multi-objective path planning for unmanned aerial vehicle based on mixed integer programming
Yuehong Hao, Boyu Li, Lizhen Shao, Yangfan Zhang, Jiarui Cui · 2017
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.