The Research And Improvement Of Bacterial Foraging Optimization Algorithm

Bacterial Foraging Optimization (BFO) is a recently developed swarm intelligence algorithm based on the foraging behavior of E. coli bacteria. It is a simple stochastic global optimization technique. However, the accuracy of the original BFO algorithm is not high; the convergence rate is no fast enough. To resolve these problems, four basic behaviors of the BFO algorithm behavior has been redefined and improved, and new concepts was introduced to improve the process of the entire algorithm. The improved BFO algorithm is called Advanced BFO algorithm (ABFO). Subsequently, this ABFO algorithm is applied in the actual thermal object identification and the optimization of the PID controller parameters. The identification results show that the nature of the improved algorithm is effective. The simulation results show that this optimization algorithm is valid and effective.