Application of Clonal Selection Algorithm on Ignition Advanced Angle of Hydrogen-fueled Engine

Clonal selection was a natural choice mode of immune system, in which the antibody with high affinity for antigen was promoted and the antibody with low affinity was restrained under the action of clonal selection mechanism. And Clonal Selection Algorithm (CSA) as one kind of searching methods adopted group search strategy, exchanged information between antibodies and achieved global optimal solution search by simulating the high variation and cloning characteristics of B lymphocyte. A simulation model of the best ignition advanced angle of hydrogen-fueled engine based on CSA was constructed. The advantages of CSA and the features of BP neural network were all adopted in this model. The simulation results show that this new model predicts the best ignition advanced angle of hydrogen-fueled engine quickly and accurately. What’s the important is that it overcomes BP neural network’s shortcomings of slow convergence speed and easily running into the local minimum value.