Cooperative Multi-UAV Task Assignment in Cross-Regional Joint Operations Considering Ammunition Inventory

As combat missions become increasingly complex in both space and time, cross-regional joint operations (CRJO) is becoming an overwhelming trend modern air warfare. How to allocate resources prior the operation becomes a central issue improve efficiency. In this paper, we focus on cooperative mission planning of multiple heterogeneous unmanned aerial vehicles (UAVs) CRJO. A multi-objective optimization problem presented with aim minimizing makespan while maximizing value expectation obtained. Moreover, it not mandatory for each UAV return exactly base which takes off. Furthermore, addition constraints commonly found assignment problems, ammunition inventory at also taken into account. To solve such problem, developed improved genetic algorithm (IGA) novel chromosome encoding format. It can determine number attacks given target based expectations obtained, rather than being predetermined. Specifically, efficient logic-based unlocking mechanism designed crossover mutation algorithm. Simulation results show that IGA efficiently considered problem. Through numerical experimental comparisons, proposed work superior other existing IGA-like algorithms terms computational