Co-Evolutionary Algorithm-Based Multi-Unmanned Aerial Vehicle Cooperative Path Planning

Multi-UAV cooperative path planning is a key technology to carry out multi-UAV tasks, and its research has important practical significance. A combination of single-UAV paths, so the idea problem decomposition effective deal with planning. With this analysis, algorithm based on co-evolution optimization was proposed in paper. Firstly, by analyzing meaning flight, model given. Secondly, we designed cost function multiple UAVs penalty method constraints two information-sharing strategies search between UAVs. The were called optimal individual selection strategy mixed strategy. new presented combining above designation algorithm. Finally, applied rendezvous task complex environments compared evolutionary algorithms. experimental results show that can effectively cope environments.