Intelligent Planning Modeling and Optimization of UAV Cluster Based on Multi-Objective Optimization Algorithm

As a flight tool integrating carrier and reconnaissance, unmanned aerial vehicles (UAVs) are applied in various fields. In recent years, mission planning path optimization have become the most important research focuses field of UAVs. With continuous maturity artificial intelligence technology, search algorithms been vehicles. However, these certain defects, which lead to problems, such as large volume low efficiency task planning, cannot meet requirements planning. The objective algorithm has good performance solving problems. this paper, intelligent model UAV cluster was established based on multi-objective algorithm, its is optimized. aspect modeling, paper studied analyzed online rules formation control using an agent-based modeling method. For optimization, it combined build from three aspects allocation, route evaluation. final simulation results showed that method met design improved with 2.26% completion satisfaction.