Traditionally, the motion cooperative algorithms for swarm base on the interaction rules of attraction, repulsion
and alignment have the properties of group cohesion and velocity consensus, which prevent the splitting of the group under
multiple external stimulus. Therefore, a distributed motion cooperative algorithm is proposed by integrating a following
interaction with the behaviors of long-range attraction, short-range repulsion and consensus-based alignment, where the
following behavior is applied locally to one of the proximity neighbors with the fastest change of inter-individuals distance
and vanished after a short acting time. Then, the swarm can split autonomously into multiple sub-groups when multiple
stimulus are introduced. Finally, simulation results show the feasibility and effectiveness of the proposed algorithm for the
fission control.