Production job multi-objective scheduling optimization based on set pair analysis and NSGA-II

To find the optimal scheduling for the production job in the production process,using the production quality,efficiency and cost threshold value as constraints,this paper built a multi-objective relative degree of nearness optimization model for quality-efficiency-cost control based on set pair analysis(SPA).It solved the optimization model by using non-dominated sorting generic algorithm(NSGA-Ⅱ) and acquired the Pareto-optimal solutions under the relative certainty conditions.Each job selected reasonable solution according to the optimal alternative.Finally,the experiment verifies the multi-objective optimization problems that illustrates the accuracy,effectiveness and applicability of the proposed method.