Cooperative Task Assignment of Uninhabited Combat Air Vehicles Based on Improved MOSFLA Algorithm

The multiple uninhabited combat air vehicles (UCAV) cooperative task assignment problem is a multi-constrained combinatorial optimization problem. In order to solve this problem, a task assignment strategy of multi-objective shuffled frog-leaping algorithm (MOSFLA) based on matrix binary encoding is proposed. Firstly a multi-objective optimization model of task assignment is established using the target residual value in the three-dimensional space, the damage of UCAV and the voyage costs. Then the individual position update strategy of MOSFLA is optimized in order to ensure the feasibility of solutions and the global convergence capability. Finally, the strategy proposed in this article is applied in the air-to-ground attack mission assignment problem to obtain the Pareto optimal solutions. Simulation results show that the improved algorithm can solve the multi-UCAVs cooperative task assignment problem, and increase flexibility of decision making.