A novel exponential type swarming of foraging and obstacle-avoidance behaviour modelling and simulating research on collective motion in multi-obstacle environment

Abstract

A novel Lagrangian "individual-based" isotropic continuous time exponential type swarming model with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarm systems is verified by computer numerical imitation. Numerical simulation results further indicate that the individual members living in group during the course of coordinative motion can realize the collision-eluding obstacles and ensure mutual aggregating behaviour, the motion of each individual member is a combination of the inter-individual interactions and the interaction of the member with external environment. Better self-adaptability of surrounding environment and practicability are embodied out in the proposed model. © 2008 Springer Berlin Heidelberg.