A HYBRID ALGORITHM BASED ON LS-SVM AND BACTERIAL FORAGING APPROACH FOR BURNING-THROUGH-POINTS(BTP)PREDICTION IN SINTERING PROCESS
Qiang Song, Aimin Wang · 2013
In order to solve the analysis problem more efficie ntly and quickly, we presented a hybrid method base d on LS-SVM and Bacterial Foraging Optimization (BFO) in this study.The social foraging behavior of Escherichia coli bacteria has been used to solve op timization problems. This paper proposes a hybrid approach involving Bacteria Foraging Optimization Algorithm (BFO) and LS-SVM algorithms for prediction problems. It is found that Bacteria Fora ging Algorithm (BFO) is capable of improving the speed of convergence as well as the precision in the desi red result. Simulation results clearly illustrate t hat the proposed approach is very efficient and could easil y be extended for other global optimization problem s.It