Track Planning Model for Multi-UAV Based on New Multiple Ant Colony Algorithm
Lin Wu, Yu Zhu, Weiceng Zeng, Shuqi Wang · 2018
The extensive application of unmanned aerial vehicles provides great convenience for resources exploration and topographic exploration. By modeling the track of multiple vehicles, this paper proposes the multi-objective optimization model in coverage and task time. To overcome the weakness of basic ant colony algorithm on track repeatability, similarity measure of immune algorithm is introduced and the desired effect is achieved in the simulation.