MATLAB Code Implementation of Artificial Fish Swarm Algorithm

This resource provides comprehensive MATLAB source code for implementing the Artificial Fish Swarm Algorithm (AFSA), a nature-inspired optimization technique based on fish swarm behavior. The algorithm simulates fundamental fish behaviors including foraging, swarming, and following mechanisms to solve complex optimization problems. The implementation includes configurable parameters for population size, visual distance, step size, and iteration count, allowing users to adapt the algorithm to various optimization scenarios. Key functions feature swarm initialization, fitness evaluation, and dynamic position updates using randomization techniques and neighborhood search strategies. This code serves as an educational reference for understanding AFSA's core components: prey behavior simulation, swarm aggregation rules, and follow mechanisms with collision avoidance. Users can modify objective functions, adjust convergence criteria, and visualize optimization progress through integrated plotting functions. The implementation demonstrates practical applications in function optimization and serves as a foundation for extending AFSA to multi-objective optimization problems.