Animal group behavioral model with Evasion Mechanism

Modeling behavioral mechanism of animal group promotes the development of group animation and other fields involving crowd simulation. This paper introduces a model to mimic behaviors of animal group. We proposes a swarming intelligence algorithm, Evasion Mechanism Artificial Fish School Algorithm (EM-AFSA) in our model, in which AFSA often focuses on optimization. The EM-AFSA introduces a new mechanism, i.e. evasion, which enables the group to avoid obstacles and collisions and to evade predation. It also includes flocking, foraging and tailgating. It is convenient to show the dynamic demonstration of our model and the model vividly mimics the real animal group behavior, which could potentially be used in designing group animation.