Optimization of Parallel Production Systems Scheduling Using Multi-Objective Genetic Algorithm Analysis

A new mathematical model for the multi-objective scheduling problem is presented in the production system, which aims to minimize the maximum completion time, early cost and delay cost. . A two-dimensional programming model presented for considering my model to be NP-Hard based, two data-generating algorithms (NSGA-II and NR-based). . For the purpose of comparing small and medium sizes and showing the efficiency of the EBs, the model was solved by a 2D method with the restricted EBs, and compared with the NGA-II algorithms. Using the statistics, compute the presented bureaucracies, which will be shown in the graphical view of the bureaucracy