Genetic Algorithm (GA) for Multiprocessors Scheduling

  • Authors

    • Sainuddin Mohd Jufri
    • Saiful Izwan Suliman
    • Mohd Asri Mansor
    • Yuslinda Wati Mohamad Yusof
    • Roslina Mohamad
    • Shahrani Shahbudin
    • Murizah Kassim
    2018-08-13
    https://doi.org/10.14419/ijet.v7i3.15.17525
  • Genetic Algorithm, Multiprocessors, Parallel Processors

  • Abstract

    In a multiprocessors environment, an algorithm is used to effectively delegate tasks to the processors. The algorithm act as the resource distributor and controller to ensure that the processors are equally utilized thus optimizing the usage of the processors. Thus, the objectives of the study are to replicate the Genetic Algorithm (GA) and use the algorithm to shorten the timespan for the parallel task to be completed. The algorithm has the ability to improve and find the optimum solution based on the population needs. Hence, C++ is used as the platform for the simulation. Experimental results validate that the designed program has the ability to replicate the GA in achieving the objectives of the study.

     

  • References

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  • How to Cite

    Mohd Jufri, S., Izwan Suliman, S., Asri Mansor, M., Wati Mohamad Yusof, Y., Mohamad, R., Shahbudin, S., & Kassim, M. (2018). Genetic Algorithm (GA) for Multiprocessors Scheduling. International Journal of Engineering & Technology, 7(3.15), 179-182. https://doi.org/10.14419/ijet.v7i3.15.17525

    Received date: 2018-08-14

    Accepted date: 2018-08-14

    Published date: 2018-08-13