Abstract:

Traditional on-line optimization ignores the global guidance effect and the search range is not restricted. Hence，such a search has a quality of blindness and can not assure finding the global optimum point，and its solution can not be on-line applied. To overcome these defects，a global-guided flexible tolerance method with two-level optimization algorithm is presented. Genetic algorithm is selected as the global optimization algorithm，flexible tolerance method is for the local optimization algorithm，and the global optimization solution is used to guide the search direction of local optimization. The global optimization and the local optimization each have different periods and constraints. Such a global-guided flexible tolerance method is verified by classical function and applied to the on-line optimization of acetylene hydrogenation reactor. Result showed that this method has the advantages of shorter running time，higher efficiency and more exact solution than the traditional on-line optimization.