Multi-UAVs Collaborative Task Allocation Based on Improved Consensus-Based Grouping Algorithm

The complex battlefield environment and increasing mission requirements have brought great challenges to multi-UAVs collaborative task allocation. How to accurately and efficiently implement task allocation and provide support for multi-UAVs collaborative combat in a complex adversarial environment has become an urgent problem to be solved. In this paper, the collaborative task allocation of multiple UAVs is studied, and a collaborative task assignment model of multiple UAVs is established, the model considers various constraints and actual operational requirements in the adversarial environment. An Improved Consensus-Based Grouping Algorithm (ICBGA) is proposed to solve the collaborative task allocation problem of multi-UAVs, and the relative simulation result demonstrate the proposed algorithm improves the performance of the original CBGA algorithm.