  Flocking model has been widely used to control robotic swarm. However, with
the increasing scalability, there exist complex conflicts for robotic swarm in
autonomous navigation, brought by internal pattern maintenance, external
environment changes, and target area orientation, which results in poor
stability and adaptability. Hence, optimizing the flocking model for robotic
swarm in autonomous navigation is an important and meaningful research domain.
