| 基于GA和机器学习的启发式规则调度方法 |
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| 引用本文： | 李岩,吴智铭.基于GA和机器学习的启发式规则调度方法[J].控制与决策,1999(Z1). |
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| 作者姓名： | 李岩 吴智铭 |
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| 作者单位： | 上海交通大学自动化研究所!200030 |
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| 摘 要： | 采用基于遗传算法的启发式规则的新型调度方法来处理可变工艺路径的调度问题，同时建立起启发式调度规则库和用于选择规则的知识库，并利用机器学习和模糊推理机制进行样本与知识库的匹配，实现高效实用的调度。计算实例表明了该算法的优越性能
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| 关 键 词： | 遗传算法 机器学习 可变路径 规则库 模糊知识库 |
GA and Machine-learning Based Heuristic Scheduling Method |
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| Li Yan,Wu Zhiming.GA and Machine-learning Based Heuristic Scheduling Method[J].Control and Decision,1999(Z1). |
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| Authors: | Li Yan Wu Zhiming |
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| Affiliation: | Shanghai Jiaotong University |
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| Abstract: | A GA-based scheduling method combined with heuristic rules is presented to solve the problem of scheduling with varible routes. A rule base and a fuzzy knowledge base used to select heuristic rule set are setup. Also, a machine-learning mechanism and a fuzzy reasoning mechanism are utilized to match samples with the knowledge base. The calculation results show satisfactory performance of the method. |
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| Keywords: | genetic algorithm machine learning scheduling variable routes rule base fuzzy knowledge base |
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