An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems

@article{Akbari2017AnEG,
  title={An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems},
  author={Mehdi Akbari and Hassan Rashidi and Sasan H. Alizadeh},
  journal={Eng. Appl. of AI},
  year={2017},
  volume={61},
  pages={35-46}
}
One of the important problems in heterogeneous computing systems is task scheduling. The task scheduling problem intends to assigns tasks to a number of processors in a manner that will optimize the overall performance of the system, i.e. minimizing execution time or maximizing parallelization in assigning the tasks to the processors. The task scheduling problem is an NP-complete and this is why the algorithms applied to this problem are heuristic or meta-heuristic by which we could reach a… CONTINUE READING

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