1. A real-time operating optimization method of a multi-input and multi-output continuous production process, it is characterized in that: the key manipulating variables in the production process are taken as the optimized variables, and the technical targets associated with these manipulating variables are supposed as the objective functions, then the gradient vector of the objective functions and the optimized variables is calculated currently online based on the historical data of the objective functions and the optimized variables, after that the gradient vector is used to decide the adjustment direction of the optimized variables, if the gradient vector is positive or negative, the optimized variables are adjusted to the zero gradient direction for optimizing the objective functions, the gradient vector is calculated online continuously, regardless of whether the objective functions are optimum or not, if the gradient is not zero, the respective optimized variables will be adjusted to the direction of zero gradient to trace the optimum.