Systematical analysis on factors affecting the cold end system was conducted.The optimization model was obtained

which regarded the minimum coal consumption rate as the target function

used several objective conditions as the variables

such as flow and temperature of the circulating water

sub-cooling degree of the condenser

fouling and air leakage in the condenser. Genetic algorithm was employed to optimize the multiple factors

and the optimization conditions for the minimum coal consumption rate and the corresponding parameters were obtained.Comparison indicated that this genetic algorithm not only can optimize the cold end system quickly and accurately

but also can compensate the economic efficiency drop that caused by defects of some parameters through automatic adjustment of the parameters.