An Optimization Method for Collaborative Task Planning Strategy Based on the Improved Practical Byzantine Fault-Tolerant Algorithm

During the task execution process of the multi-agent system, some agent nodes may exhibit abnormal behaviors due to interference or damage, thereby affecting the overall efficiency of the system. To ensure that the system can still complete tasks normally in the case of a small number of agents being damaged, this paper proposes an optimization method for cooperative task planning strategies based on the improved practical Byzantine fault-tolerant algorithm. Firstly, a modeling method for the collaborative ability of multi-agent systems was proposed based on UML. Then, an executable model was generated on the basis of the UML model, and the improved practical Byzantine fault-tolerant algorithm was utilized to enhance the completion ability of collaborative tasks. Through simulation experiments, it was verified that this method has a significant effect on improving the collaborative ability of multi-agent systems.