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对平均费用型马氏决策过程,研究了一种递阶增强型学习算法;并将算法应用于一个两台机器组成的开环可重入生产系统,计算机仿真结果表明,调度结果优于熟知的启发式调度策略.
开环可重入排队网络的递阶增强型学习调度
【摘 要】
：
对平均费用型马氏决策过程,研究了一种递阶增强型学习算法;并将算法应用于一个两台机器组成的开环可重入生产系统,计算机仿真结果表明,调度结果优于熟知的启发式调度策略.
【机 构】
：
中国科学院自动化研究所,同济大学信息控制系
【出 处】
：
系统工程理论与实践
【发表日期】
：
2004年期
【基金项目】
：
上海市自然科学基金;
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