The Dynamic Job Shop Scheduling Approach Based on Data-Driven Genetic Algorithm

نویسندگان

  • Yanfang Yu
  • Yue Ying
چکیده

Rapid development of the Internet of Things not only provides large amounts of data to the job-shop scheduling, but also proposes a great challenge for dynamic job shop scheduling. A dynamic job shop scheduling approach is proposed based on the data-driven genetic algorithm. Application examples suggest that this approach is correct, feasible and available. This approach can provide the technical support for the long-term development of enterprises in the field of intelligent production.

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تاریخ انتشار 2015