MATLAB Implementation of the Fish School Algorithm

This article presents the MATLAB implementation of the Fish School Algorithm, a nature-inspired optimization technique that simulates the collective behavior of fish schools in foraging, predator avoidance, and group coordination. By coding this algorithm in MATLAB, developers can effectively study and leverage its problem-solving capabilities for optimization tasks. Key implementation aspects include simulating fish movement patterns using vector operations, implementing neighborhood search through distance calculations, and dynamically adjusting individual positions based on fitness evaluations. The MATLAB environment provides efficient matrix computations for swarm intelligence simulations, with functions like pdist2 for calculating inter-fish distances and array operations for parallel position updates. This implementation demonstrates how biological swarm behaviors can be translated into effective optimization strategies through computational modeling.