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1.
动态电源管理的随机切换模型与策略优化   总被引:1,自引:0,他引:1  
提出一种基于连续时间Markov决策过程的动态电源管理策略优化方法.通过建立动态电源管理系统的随机切换模型,将动态电源管理问题转化为带约束的策略优化问题,并给出一种基于矢量合成的策略梯度优化算法.随机切换模型对动态电源管理系统的描述精确,策略优化算法简便有效,既能离线计算,也适用于在线优化.仿真实验验证了该方法的有效性.  相似文献
2.
A dynamic file grouping strategy is presented to address the load balancing problem in streaming media clustered server systems. This strategy increases the server cluster availability by balancing the workloads among the servers within a cluster. Additionally, it improves the access hit ratio of cached files in delivery servers to alleviate the limitation of I/O bandwidth of storage node. First, the load balancing problem is formulated as a two layers semi-Markov switching state-space control process. This analytic model captures the behaviors of streaming media clustered server systems accurately, and is with constructional flexibility and scalability. Then, a policy iteration based reinforcement learning algorithm is proposed to optimize the file grouping policy online. By utilizing the features of the event-driven policy, the proposed optimization algorithm is adaptive and with less computational cost. Simulation results demonstrate the effectiveness of the proposed approach. Recommended by Editor Hyun Seok Yang. This work was supported by the National Natural Science Foundation of China under grant Nos. 60774038, 60574065, National 863 HI-TECH Research & Development Plan of China under grant Nos. 2006AA01Z114, 2008AA01A317, Natural Science Foundation of Anhui Province under grant No. 070412063, Graduate Student Innovation Foundation of USTC under grant No. KD2006036, and Science Research Development Foundation of HFUT under grant No. GDBJ2008-045. Qi Jiang received the B.S. degree in Industrial Electrical Automation from Southeast University in 1989 and the Ph.D. degree in Control Science and Engineering from University of Science and Technology of China in 2008. He is currently a Post-doc in USTC. His research interests include optimization and control of stochastic dynamic systems, and performance analysis and optimization of network communication systems. Hong-Sheng Xi received the M.S. degree in Applied Mathematics from University of Science and Technology of China in 1977. He is currently a Professor in Department of Automation, USTC. His research interests include discrete event dynamic systems, performance analysis and optimization of network communication systems, robust control, and network security. Bao-Qun Yin received the B.S. degree in Mathematics from Sichuan University in 1985, the M.S. degree in Applied Mathematics and the Ph.D. degree in Pattern Recognition and Intelligent Systems from University of Science and Technology of China in 1993 and 1998, respectively. He is currently a Professor in Department of Automation, USTC. His research interests include discrete event dynamic systems, and Markov decision processes.  相似文献
3.
联合更换策略的机会性Lagrangian松弛方法   总被引:1,自引:0,他引:1       下载免费PDF全文
零部件的联合更换是通过协调不同零部件的更换决策使其尽可能共享资源以节约费用的优化问题. 这类随机组合策略优化问题在实际中大量存在,对生产生活的经济性起着重要影响. 由于随机因素和组合效应,其有限阶段的策略求解非常困难. 本文针对飞机引擎维护中的零部件联合更换问题,利用问题中随机耦合约束的特征, 给出了一个可分解的模型及相应的分解协调方法机会性Lagrangian松弛(Opportunistic Lagrangian relaxation, OLR). 与现有的两种利用先验最优策略规则的方法相比, OLR方法可在无先验知识的情况下直接得到更佳的协调效果.  相似文献
4.
A manufacturing system that procures raw materials from suppliers in a lot and processes them into a finished product is considered in this research. An ordering policy is proposed for raw materials to meet the requirements of a production facility which, in turn, must deliver finished products demanded by outside buyers at fixed points in time. First, a general cost model is formulated considering both raw materials and finished products. Then, using this model, a simple procedure is developed to determine an optimal ordering policy for procurement of raw materials, and the manufacturing batch size, to minimize the total cost of meeting customer demands in time. The dependent relationships between production batch size and rawmaterial purchasing quantity, and various delivery patterns considered in recent literature are critically reviewed. The quality of the solution is evaluated. Numerical examples are provided.  相似文献
5.
A routing policy is the method used to select a specific output channel for a message from among a number of acceptable output channels. An optimal routing policy is a policy that maximizes the probability of a message reaching its destination without delays. Optimal routing policies have been proposed for several regular networks, including the mesh and the hypercube. An open problem in interconnection network research has been the identification of an optimal routing policy for the torus. In this paper, we show that there is no optimal routing policy for the torus. Our result is demonstrated by presenting a detailed example in which the best choice of output channel is dependent on the probability of each channel being available. This result settles, in the negative, a conjecture by Wu concerning an optimal routing policy for the torus.  相似文献
6.
应用Markov决策过程与性能势相结合的方法,给出了呼叫接入控制的策略优化算法.所得到的最优策略是状态相关的策略,与基于节点已占用带宽决定行动的策略相比,状态相关策略具有更好的性能值,而且该算法具有很快的收敛速度.  相似文献
7.
With the increased availability and complexity of distributed systems comes a greater need for solutions to assist in the management of distributed systems. Despite the significant contributions made towards the development of management tools that monitor and control distributed systems, little has been done to address issues such as optimizing the execution of management functions with respect to system and management requirements. This paper presents a management optimization model in which management agents and managed objects are efficiently configured on the basis of a set of system and management requirements. We illustrate our model and describe its implementation through a Branch- and Bound-based algorithm and a web-based interface. The latter enables users to specify the requirements used by the optimization algorithm to determine efficient management configurations. It also includes an XML-based interface through which management agents can be started independent of the underlying platforms. Performance characteristics of the proposed algorithm as well as experimental results to illustrate the validity of the model are also described.  相似文献
8.
江琦  奚宏生  殷保群 《软件学报》2007,18(6):1491-1500
基于强化学习的方法,提出一种无线多媒体通信网适应带宽配置在线优化算法,在满足多类业务不同QoS(quality of service)要求的同时,提高网络资源的利用率.建立事件驱动的随机切换分析模型,将无线多媒体通信网中的适应带宽配置问题转化为带约束的连续时间Markov决策问题.利用此模型的动态结构特性,结合在线学习估计梯度与随机逼近改进策略,提出适应带宽配置在线优化算法.该算法不依赖于系统参数,如呼叫到达率、呼叫持续时间等,自适应性强,计算量小,能够收敛到全局最优,适用于复杂应用环境中无线多媒体通信网适应带宽配置的在线优化.仿真实验结果验证了算法的有效性.  相似文献
9.
随着多核技术的迅速发展,并发处理和大批量数据操作成为主流,而为了应对更加复杂的程序行为和愈发庞大的数据量,缓存系统的效率也正面临着严重的挑战.如何在复杂的多核环境中更高效的使用缓存,提高缓存响应速度和数据吞吐量一直是体系结构领域的重要课题和研究热点.针对多核环境中缓存的应用场景进行分析,从缓存的效率,内容和共享使用三个角度进行归纳和总结,提出缓存应用的时延问题,容量问题,共享问题等具有针对性的问题,并且对针对这些具体问题和情境的缓存优化技术进行总结和综述,同时对缓存优化的一些新技术和新的优化角度进行探讨,最后对多核缓存优化技术的发展前景进行展望.  相似文献
10.
In this paper, we consider a replacement model with minimal repair based on a cumulative repair-cost limit policy, where the information of all repair costs is used to decide whether the system is repaired or replaced. As a failure occurs, the system experiences one of the two types of failures: a type-I failure (repairable) with probability q, rectified by a minimal repair; or a type-II failure (non-repairable) with probability p (=1 − q) that calls for a replacement. Under such a policy, the system is replaced anticipatively at the nth type-I failure, or at the kth type-I failure (k < n) at which the accumulated repair cost exceeds the pre-determined threshold, or any type-II failure, whichever occurs first. The object of this paper is to find the optimal number of minimal repairs before replacement that minimizes the long-run expected cost per unit time of this polish. Our model is a generalization of several classical models in maintenance literature, and a numerical example is presented for illustration.  相似文献
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