Bacterial Foraging Optimization (BFO) Algorithm

This book's code implements object clustering functionality using the Bacterial Foraging Optimization algorithm, incorporating concepts from swarm intelligence and bionic computing through MATLAB implementation. The provided code represents the original, unmodified base version designed to help readers deeply understand BFO's application in object clustering while mastering fundamental knowledge of swarm intelligence and bionic computing principles. The implementation demonstrates key BFO components including chemotaxis movement (bacterial swimming and tumbling), reproduction phase (based on health criteria), and elimination-dispersal events. Readers can build upon this foundation to explore algorithm optimization methods and apply the technique to broader application scenarios. The MATLAB code includes essential functions for bacterial population initialization, fitness evaluation for clustering objectives, and parameter configuration for convergence control.