Optimization of Parallel Production Systems Scheduling Using Multi-Objective Genetic Algorithm Analysis
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 148 | Views: 429

Research Paper | Mathematics | Afghanistan | Volume 8 Issue 12, December 2019 | Popularity: 6.6 / 10


     

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

Sayed Hazrat Sadat


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


Edition: Volume 8 Issue 12, December 2019


Pages: 243 - 251



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

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