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Research on low power scheduling in open CNC system using hybrid genetic algorithm

2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA)(2021)

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摘要
Aiming at the NP-hard characteristics of low-energy scheduling problems on multi-core platforms, a hybrid genetic algorithm with variable neighborhood search (HGA-VNS) for periodic dependent tasks in open CNC systems is proposed. The mathematical model of the optimization problem was formulated, and the flowchart of the algorithm was designed. Considering the periodic dependence of the tasks, the ...
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关键词
Energy consumption,Scheduling algorithms,Sociology,Scheduling,Real-time systems,Task analysis,Statistics
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