MATLAB Implementation of Artificial Fish Swarm Algorithm with Code Description

Artificial Fish Swarm Algorithm simulates fish behaviors in aquatic environments where fish naturally locate nutrient-rich areas through independent movement or following others. The algorithm mimics three key fish behaviors - foraging, swarming, and chasing - to achieve optimization. Key behaviors include: (1) Foraging Behavior: Fish move randomly until detecting food, then swim toward increasing nutrient concentrations. (2) Swarming Behavior: Fish form groups for survival and protection following three rules: Separation Rule (avoid overcrowding neighbors), Alignment Rule (match average direction of nearby fish), and Cohesion Rule (move toward group center). Code implementation details will explain how these behaviors are mathematically modeled and programmed.