In order to realize the rapid dispersion of a large number of agents into a specified space, a multi-agent formation identical particle diffusion algorithm is proposed. By simulating the cell division process, an identical particle diffusion algorithm is designed, so that the number of particle swarm becomes three times that before the transformation after each change, and can cover a large area. The simulation results show that the algorithm can be spread over multiple regions in a short time. The algorithm can be widely used in the fields of computer technology, science, physics and transportation. It can also be used in the cluster control of unmanned aerial vehicles. In particular, this algorithm can be applied to quickly disperse a large number of agents into a large area.
Routing design is a convenient and effective way to ensure the safety of the navigation in dynamic uncertain
environments. This study presents a novel routing design algorithm using rolling time frame method combined with the
traditional Artificial Potential Field (APF) algorithm. By periodically collecting the environmental information and
mobile obstacles situation with rolling time frame method, the proposed algorithm is capable of predicting the
distribution of obstacles got by the ship assistant equipments so as to design the navigational routes to accommodate to
the dynamic uncertain environments. The practical stimulation results indicate that the algorithm can help the ships
effectively avoid the mobile obstacles in dynamic uncertain environments.
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