Artificial Fish Swarm Algorithm (FSA) Implementation

MATLAB-based implementation of the Artificial Fish Swarm Algorithm (FSA), featuring robust optimization capabilities through fish schooling behavior simulation. The implementation includes core functions for swarm initialization, visual range calculation, prey behavior, swarm behavior, and follow behavior with configurable parameters. This validated code demonstrates high search efficiency, adaptive parameter adjustment, and broad applicability to complex optimization problems.