High-dimensional multi-target set evolutionary optimization method based on preference of decision maker

The invention relates to a high-dimensional multi-target set evolutionary optimization method based on preference of a decision maker. According to the method, the objective function of an original optimization problem is converted into an expectation function according to the preferential area of each target given by the decision maker; the expectation function optimization problem is converted into a two-target optimization problem with a set formed by multiple solutions of the original optimization problem as a new decision variable and the hypervolume and the satisfaction degree of the preference of the decision maker as a new objective function; an internal self-adaptive crossing strategy of individuals of the set is designed according to the hypervolume contribution degree of the solutions of the original optimization problem in the set and the satisfaction degree of the preference of the decision maker; furthermore, an individual variation strategy of the set is designed by means ...