Optimization of Parallel Production Systems Scheduling Using Multi-Objective Genetic Algorithm Analysis
Abstract: 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
Keywords: Scheduling Parallel Production Systems, Multi-Objective Genetic Algorithm, Mathematical Analysis
How to Cite?: Sayed Hazrat Sadat, "Optimization of Parallel Production Systems Scheduling Using Multi-Objective Genetic Algorithm Analysis", Volume 8 Issue 12, December 2019, International Journal of Science and Research (IJSR), Pages: 243-251, https://www.ijsr.net/getabstract.php?paperid=2111901, DOI: https://dx.doi.org/10.21275/2111901