Joint Task Planning of UAV Groups using Improved Multi-objective Lion Swarm Optimization

With the development of the technology of unmanned aerial vehicle(UAV), multi-UAV task allocation has become one of the keys to collaborative control of UAV groups in recent years. Aiming at the task allocation, we proposed a multi-objective lion swarm optimization(MOLSO) by researching the original lion swarm optimization(LSO), and then introduced sequential Monte Carlo methods(SMC) resampling mechanism to improve its performance. This new multi-objective lion swarm optimization based on resampling(RMOLSO) can effectively solve the task allocation problem of multi-UAV.