备自投在武汉电网中的应用

文章介绍了武汉电网采用的典型备自投方案,对武汉电网备自投的启动条件、闭锁条件、根据运行方式自适应开放备自投等特殊情况的处理原则进行了总结,针对武汉电网备自投运行过程中存在的问题进行了分析,提出了解决办法.     

A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem

In this article, we proposed a self-adaptive memeplex robust search (SAMRS) for finding robust and reliable solutions that are less sensitive to stochastic behaviours of customer demands and have low probability of route failures, respectively, in vehicle routing problem with stochastic demands (VRPSD). In particular, the contribution of this article is three-fold. First, the proposed SAMRS employs the robust solution search scheme (RS ³) as an approximation of the computationally intensive Monte Carlo simulation, thus reducing the computation cost of fitness evaluation in VRPSD, while directing the search towards robust and reliable solutions. Furthermore, a self-adaptive individual learning based on the conceptual modelling of memeplex is introduced in the SAMRS. Finally, SAMRS incorporates a gene-meme co-evolution model with genetic and memetic representation to effectively manage the search for solutions in VRPSD. Extensive experimental results are then presented for benchmark problems to demonstrate that the proposed SAMRS serves as an efficable means of generating high-quality robust and reliable solutions in VRPSD.     

A neuro-evolutive technique applied for predicting the liquid crystalline property of some organic compounds

A simple self-adaptive version of the differential evolution algorithm was applied for simultaneous architectural and parametric optimization of feed-forward neural networks, used to classify the crystalline liquid property of a series of organic compounds. The developed optimization methodology was called self-adaptive differential evolution neural network (SADE-NN) and has the following characteristics: the base vector used is chosen as the best individual in the current population, two differential terms participate in the mutation process, the crossover type is binomial, a simple self-adaptive mechanism is employed to determine the near-optimal control parameters of the algorithm, and the integration of the neural network into the differential evolution algorithm is performed using a direct encoding scheme. It was found that a network with one hidden layer is able to make accurate predictions, indicating that the proposed methodology is efficient and, owing to its flexibility, it can be applied to a large range of problems.     

A software architecture centric self-adaptation approach for Internetware

Being one of the basic features of Internetware, self-adaptation means that the software system can monitor its runtime state and behavior and adjust them when necessary according to pre-defined policies. Focusing on the three fundamental issues of self-adaptation, including the scope, operability and trustworthiness, a software architecture （SA） centric approach for Internetware＇s self-adaptation is presented in this paper. All of the self-adaptive actions, i.e. monitoring, analyzing, planning and executing, are performed based on SA. In detail, runtime state and behavior of Internetware are represented and changed in the form of runtime soft- ware architecture. The knowledge for self-adaptation is captured, organized and reasoned in the form of SA so that automatic analysis and decision-making are achieved.     

基于改进虚拟磁链的dq谐波检测方法

为了提升传统dq谐波检测法对网侧电压畸变的应对能力,提出一种基于复合二阶广义积分器的虚拟磁链定向的谐波检测方法。该方法采用虚拟磁链作为同步参考坐标系锁相环的改进环节,利用复合二阶广义积分器替代常规低通滤波器,消除了传统dq谐波检测方法由于三相电网电压不对称和畸变等恶劣工况造成的检测误差,并能准确锁定电网相位角和频率。仿真和实验结果表明,改进后的谐波检测方法不受电网不平衡和波形畸变的影响,所得基波正序电流基本不存在畸变,且能够准确跟踪频率的变化,证实了本文所提出的基于复合二阶广义积分虚拟磁链定向的谐波检测方法的有效性。     

无线通信的跨层优化

传统的OSI分层结构无法适应无线网络环境，随着越来越多无线应用的出现，人们提出了跨层设计，其主要内容就是通过在协议栈的各层之间（主要是应用层、传输层、网络层、链路层和物理层）传递特定的信息，使协议栈能够根据无线环境的变化来实现对资源的自适应优化配置，从而更有效的利用无线网络资源，提高系统的性能。     

中国近代史上的一个特殊时期(1916-1928)——以领土维护情况为研究对象

针对移动目标检测过程中，背景信息复杂并且信息处理量大的问题，提出了一种对检测区的位图进行差影计算，从而快速检测出移动目标的方法。该方法用到的阈值，采用背景动态更新的自适应阈值计算方法得到；同时，还给出了该方法的算法描述和实验结果。实验表明，该方法能有效的提高移动目标的检测效率和准确率。     

自适应模糊PID控制在烧结过程中的应用

烧结过程具有大时滞、参数不确定性等特性，仅利用常规PID控制很难使烧结过程中的各项性能指标满足工艺要求．针对这一情况，本文提出了一种参数白适应的模糊PID控制器．该控制器的参数调整采用确定性的模糊调整规则，不但使控制器的设计易于实现而且具有很强的适应性和鲁棒性．仿真结果表明，该控制器能够对烧结过程进行有效控制．     

束晕-混沌的神经网络自适应控制

首先研究了强流离子束在周期磁场聚焦通道中传输时产生的束晕-混沌动力学行为,采用的周期磁场聚焦强度形式为与实际相近的余弦函数形式。然后利用神经网络方法对非线性复杂系统控制的优越性,提出前馈反传神经网络方法对强流离子束中束晕-混沌进行自适应控制。通过适当选择的神经网络控制结构和线性反馈系数以及自适应调整神经网络的权系数,可将强流离子束的包络半径达到束匹配半径的控制目标,且束包络的抖动大小明显减少,同时束晕-混沌现象得到了明显的抑制。     

自适应进化规划及其在多目标最优潮流中的应用(Ⅰ)-自适应进化规划算法

针对实值优化问题,以常规进化规划为基础,从数学理论及生物进化机制角度出发,提出了一种自适应变异算子,设计出一种新颖的自适应进化规划算法.该算法中包含了两个重要部分:一是采用倒指数形式来描述方差σ2与适合度f之间的关系;二是在寻优过程中,变异量δ自适应发生改变.数值实验表明:这种新算法具有很强的自适应、通用性及逃脱局部极值的全局优化能力,且运算量小.