MATLAB Implementation of Bacterial Foraging Optimization Algorithm Source Code

In this research project, we developed a MATLAB source code implementation of the Bacterial Foraging Optimization Algorithm (BFOA). The Bacterial Foraging Optimization Algorithm is a bio-inspired computational method that mimics the foraging behavior of bacteria in nutrient-rich environments. This algorithm optimizes problem solutions by simulating bacterial chemotaxis, reproduction, and elimination-dispersal processes. Our MATLAB implementation includes key algorithmic components such as: - Chemotaxis movement simulation using random direction vectors and step size calculations - Reproduction mechanism implementation based on health index sorting - Elimination-dispersal events with probability-controlled bacterial regeneration - Adaptive parameter tuning for convergence optimization The source code was designed with emphasis on computational efficiency and code readability, incorporating structured programming practices and comprehensive comment documentation. We implemented modular functions for each BFOA phase, allowing easy parameter adjustment and algorithm customization. The code features input validation, convergence tracking, and performance metrics output to ensure reliable optimization results. The implementation maintains the core mathematical foundations of BFOA while providing practical optimization capabilities for various engineering and scientific applications.