Flocking Algorithm: Simulating Collective Behavior in Nature-inspired Systems
<p>The Flocking Algorithm is a computational model inspired by collective behavior observed in nature, such as birds flying in formations or fish swimming in schools. It simulates emergent behavior in groups of entities by applying three principles: <strong><em>alignment</em></strong>, <strong><em>cohesion</em></strong>, and <strong><em>separation</em></strong>.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:630/1*Bf1ZBzaZjZu5Ehf4miYOtw.jpeg" style="height:246px; width:700px" /></p>
<p>Each entity adjusts its movement based on its <strong>neighbors’ average direction</strong>, moves towards the center of mass of its neighbors, and avoids getting too close to others. This simple set of rules leads to visually captivating and fluid flocking patterns, finding applications in computer graphics, artificial intelligence, and robotics, where it enables realistic animations, cooperative decision-making, and the development of autonomous robotic swarms for various tasks.</p>
<p><a href="https://medium.com/@pramodayajayalath/flocking-algorithm-simulating-collective-behavior-in-nature-inspired-systems-dc6d7fb884cc"><strong>Click Here</strong></a></p>