Study on Changeable Path Planning and Multi-Task Assignment Optimization Design for Unmanned Aerial Vehicles Cluster

In order to reduce tasks execution time and the route, a changeable path planning and multi-task assignment optimization design method is introduced in this paper. Tasks finishing time of unmanned aerial vehicles (UAVs) cluster is reduced by tasks balanced distribution to each UAV and flying route is shortened by adjacent tasks distribution to same UAV. The result proves that compared with route priority algorithm or task priority algorithms, The tasks finishing time of UAVs cluster of the proposed method is decreased 18% and fuel consumption is reduced obviously.