Comparative Analysis of Bacterial Foraging Optimization Algorithm with Simulated Annealing

Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. Simulated annealing (SA) is a method for solving unconstrained and bound-constrained optimization problems. The method models the physical process of heating a material and then slowly lowering the temperature to decrease defects, thus minimizing the system energy. In present paper, a detailed explanation of this algorithm is given. Comparative analysis of BFOA with Simulated Annealing (SA) is presented.