Artificial Fish Swarm Algorithm (AFSA)

The Artificial Fish Swarm Algorithm (AFSA) is one of the most effective swarm intelligence optimization algorithms, inspired by the collective movement and social behaviors of fish. This algorithm simulates a series of instinctive behaviors where fish naturally maintain their colonies, demonstrating emergent intelligent behavior. Key activities such as foraging, migration, and danger avoidance occur through social interactions within the group, leading to sophisticated collective intelligence. In code implementations, AFSA typically involves simulating fish movement through parameters like visual range, step size, and crowding factor to optimize problem solutions.