Journal of Digital Information Management Ammar Alnahhas, Aghyad Al-Kabbani, Eyad Alshami, Ahmad Alkhous 14 5 2016 http://dline.info/fpaper/jdim/v14i5/jdimv14i5_6.pdf We present a new method for simulating swarms and herds of animals using a modified version of particle swarm optimization algorithm [1], a robust collision detection and resolution system and a mechanism for restricting velocity and angular acceleration to make the movement natural as possible. Our model is designed to simulate the search for food butitcan be used for locating safe spots and predatorprey interaction by changing the fitness function, in which each swarm member interacts with the environment and the other swarm members to produce a movement that leads the member and the swarm change their position to a more fitting one.