Bacterial Foraging Algorithm

Bacterial Foraging Algorithm simulates the foraging behavior of E. coli bacteria in the human intestine, belonging to the category of bio-inspired optimization algorithms. In the BFA model, solutions to optimization problems correspond to bacterial states in the search space, represented by fitness values of the objective function. The BFA algorithm consists of three key steps: chemotaxis, reproduction, and elimination-dispersal. The implementation typically involves maintaining a population of bacteria that perform random movements (tumbles) followed by directed swims toward improving fitness regions, with periodic population updates through reproduction and random dispersal mechanisms.