The application of particle swarm optimization algorithm in multi-robot task allocation problem

In contemporary society, with the increasing difficulty of tasks required by robots, multi-robot system has gradually become a research hotspot. As multi-robot task allocation is an important part of multi-robot system cooperation, it has also become a hot topic of research. In this paper, particle swarm optimization is used as the basic optimization tool to study the optimization solution of multi-robot task allocation problem. The multi-robot task allocation problem solved by the improved particle swarm optimization, the three main control parameters of the particle swarm optimization are updated by the linear parameter updating rule. Finally, the MATLAB simulation verification is given. The simulation results show that the algorithm has good adaptability in solving the multi-robot task allocation problem.