Bacterial Foraging Optimization

Bacterial Foraging Optimization (BFO) is a nature-inspired algorithm that mimics how bacteria find food. Bacteria move in the environment, sensing chemical signals (attractants) to locate nutrients, and adjust their movement accordingly. BFO simulates this process to solve complex problems by having simulated bacteria explore possible solutions, share information, and refine their search over time. It balances exploration (searching new areas) and exploitation (refining promising solutions), making it useful for optimization tasks like tuning systems or models more effectively.