RPO
- 网络招聘流程外包;恢复点目标;招聘外包;橡胶处理油;点目标
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The schedule will determine if you can meet your recovery point objective ( RPO ) .
此计划将确定是否能够满足恢复点目标(RPO)。
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Power flow calculation is the most fundamental tool for the planning and analysis of power system , and for RPO as well .
潮流计算是电力系统规划设计与运行分析的基本工具,是无功优化最基础的计算工具,本文的任务就是研究适用于地区电网无功优化的潮流算法。
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It is this period that determines the recovery point ( RPO ) of your disaster data center .
这个时间段确定了您的灾难数据中心的恢复点目标(RPO)。
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In this paper , a program based on MATLAB optimization toolbox implements SQP method to solve RPO problem .
本文在MATLAB优化工具箱的基础上编写了实现序列二次规划法的程序来求解无功优化问题。
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The aim of voltage stabilization and reducing line loss can be make true by reactive power optimization ( RPO ) .
无功优化技术可以使电压稳定和线损降低这两个目的同时达到。
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The advanced GA uses two virtual population methodologies to process the population of standard binary and real code GA for RPO problem .
该算法采用两种虚拟种群的方法对常规遗传算法及浮点数遗传算法的种群实行改进。
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Service level agreements , RPO , RTO
服务水平协议,RPO,RTO
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Although we has stipulated the RPO , there are still many deficiencies and problems on the system in legislation and judicature as well .
我国虽然确定了公共秩序保留制度,但由于种种原因,该制度在立法上和司法实践中还存在诸多不足和问题。
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I 'm in the recruitment , RPO and software business so I would be happy to talk to people about any of the above .
我在招募,的RPO和软件业务,所以,我会很乐意谈人对上述任何一项。
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The study shows that generally , DE is an excellent new EA for solving RPO problems , it is worthy of further studies and applications .
结果表明,对求解无功优化问题而言,DE总体上是一种比较优秀的新型进化算法,值得进一步研究和应用。
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With global convergence properties , Evolutionary Algorithm , the advanced representative of intelligent optimization methods which can deal with hybrid variables conveniently , has wide application in RPO .
进化算法作为智能算法的先进代表,具有全局收敛性,能方便处理混合变量,在无功优化领域的应用颇为广泛。
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The SOAP including of its binding and message are introduced and its primary binding mode in application : RPO / Encoding binding mode and Document / Literal binding mode .
介绍了SOAP协议,包括消息及其绑定。对于SOAP协议的应用,文中介绍了其主要的绑定模式:RPC/编码绑定模式及文档/文字绑定模式。
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The reservation of public order ( hereinafter " RPO " ), originating from the application of conflict rules , is one of the oldest principles in conflict laws .
公共秩序保留是在冲突规范适用过程中产生的一个问题,也是冲突法上最古老的原则之一。
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Case study shows that parallelization does significantly improve the speed of DE for solving RPO problems ; it is possible to realize online RPO with clusters of moderate size .
算例分析表明,并行化的确可以大大提高DE求解无功优化问题的速度,采用并行DE和适当规模的集群可以较好地实现电力系统的在线无功优化。
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The mechanism and parameter setting of DE are first analyzed . Performance of DE on RPO problems is then studied with comparison to other EAs and the particle swarm optimization algorithm .
第3章将差异进化算法(DE)首次用于求解无功优化问题,研究了其寻优机理和参数设置的问题,并通过与其它进化算法和粒子群算法的比较分析了它的性能。
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For example , if you have a RPO of30 minutes , you will need to capture a snapshot at an interval just short of30 minutes .
例如,如果RPO为30分钟,则将需要捕获间隔时间小于30分钟的快照。
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Besides having access to a marketplace , Google Apps users have zero RPO ( Recovery Point Objective ) and instant failover for RTO ( Recovery Time Objective ) .
除了能够访问应用程序市场,GoogleApps用户还能享受到0RPO(恢复点目标)以及即时RTO的故障转移(回复时间目标)。
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The processes of genetic algorithm for RPO : modeling of networks , designing chromosome code and fit degree function for variable , and selecting , intercrossing , differentiating , reserving chromosome .
求解无功优化问题的遗传算法的主要步骤为:对系统进行数学建模,对控制变量设计染色体编码、适应度函数,然后对染色体进行选择、交叉、变异和保留操作。
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The methods of RPO are presented in this paper , kinds of methods for solving the problem are summarized . The methods fall into two categories , one is the classical methods , the other is the modern methods .
本文概述了求解无功优化问题的方法,这些方法可以大致分成两类:经典方法和现代方法。
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Reactive Power Optimization ( RPO ) of power system can effectively reduce the energy losses caused by power transmission and distribution , which can not only improve voltage quality and power system stability obviously , but also economize energy .
电网无功优化可以有效地降低电能在电网中传输和分配过程中能量损耗,明显改善电压质量,提高系统稳定性,节约能源。
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Therefore , RPO is one of the hotspots in the power engineering research field . The contents of research mainly consist of two aspects : the detailed modelization considering more practical requirements and the fast as well as accurate solution .
因此,无功优化问题是目前电力系统领域中的研究热点之一,研究内容主要包括两个方面,即考虑更多实际需求的详细建模和快速准确的求解。
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In theory , RPO is a non-convex and multimodal complex optimization problem involving nonlinear objective function , nonlinear equality and inequality constraints and both continuous and discrete variables . It is quite difficult to be solved quickly and accurately .
在理论研究中,无功优化是一种同时具有连续变量和离散变量、具有非线性的目标函数、非线性的等式和不等式约束的复杂优化问题,其快速准确求解相当困难。
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The purpose of reactive power planning optimization ( RPPO ) is to fix the project of reactive compensating , and it is very important for RPO to ensure the security and economy of power system operation and the quality of supply power .
因此,进行无功规划优化确定无功补偿方案,不仅是指导管理人员进行电网无功电源建设的有力工具,也是保证电力系统安全经济运行和优质供电的重要措施。