摘要
用普通方法难以很好地解决动态调度的问题，仿真方法和专家系统相结合是一个较好的解决办法，但是知识的缺乏制约了它的应用，机器学习是获取调度知识的一个重要途径。提出一种新的机器学习方法，并用实例说明其可行性。
Dynamic scheduling has been proven to be a difficult problem and would not be solved by general method well. Combination of expert system and simulation is a better solution way to dynamic scheduling, but it is constrained by the absence of expert knowledge. Machine learning is a feasible way to acquire scheduling knowledge. This paper provide a novel machine learning method based on genetic algorithm. Simulation results show its validity.
基金
国家863/CIMS主题资助
关键词
动态调度
机器学习
知识获取
遗传算法
dynamic scheduling
machine learning
knowledge acquisition
genetic algorithms
