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. [ABSTRACT FROM AUTHOR]