一种快速压缩遗传算法及其仿真研究

给出了压缩遗传算法的模式定理以及收敛性和运算参数的分析，并提出一种快速压缩遗传算法(fcGA)．该算法用压缩遗传算法(cGA)运行少量代数得到的概率值及其运行代数组成一个观测样本，借助于统计学中的最小二乘法估算几万代以后的概率值，组成新的概率矩阵并根据该矩阵产生新的个体，用这些新的个体更新概率矩阵．旅行商问题(TSP)的仿真证明，该算法是一种十分高效的遗传算法．     

Searching for information in an online public access catalogue (OPAC): the impacts of information search expertise on the use of Boolean operators

Abstract Boolean systems still constitute most of the installed base of online public access catalogues (OPACs) in the French universities even if many studies have shown that Boolean operators are not frequently used by ‘non‐librarian’ users (by contrast with professional librarians). The first study examined the use of Boolean operators by French university students; In the second study, elaborated to evaluate the impact of information search expertise on this use, Boolean operators are explicitly presented and participants were explicitly invited to use them. We assumed that university students would not frequently use the operators in searching, and that even if they were explicitly invited to make use of them. Results obtained with the first study based on transaction logs analyses confirmed that French university students did not frequently use Boolean operators. The impact of information search expertise, analysed in the second study, compared three levels of expertise: Novice (university students), intermediate (future professional librarians), and expert (professional librarians). Results showed that, even if the three groups were invited to use Boolean operators, this use increased significantly with the level of information search expertise. University students, if they manage procedural functions of connectives in natural language, do not always manage the whole set of procedural functions carried by such connectives when used in the documentary language. So, the relevance of presenting explicit Boolean operators in the OPACs when users are ‘non‐librarians’ is questioned.     

Validation of Idiosyncratic Cognitive Schema in Cognitive Case Formulations: An Intraindividual Idiographic Approach.

This article describes a method for the intraindividual clinical validation of a cognitive case formulation (CCF) involving hypotheses about the patient's idiosyncratic cognitive schema (ICS). The two-stage approach begins by testing the convergent and discriminant validity of the hypothesized ICS against the individual's daily ratings of cognition items using confirmatory dynamic factor analysis. The second stage evaluates the extent to which the ICS factor scores predict daily variability in symptoms and distress and further addresses convergent and discriminant validity by evaluating intraindividual cognitive content specificity and the incremental validity of the idiographic cognition factors compared with nomothetic measures of thoughts/beliefs. This approach to validating idiographic assessment is illustrated with the CCF of a woman with comorbid mood and anxiety disorders. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Analysis of NEA C5MOX benchmark with computer code “cohint” based on interface current approach

Interface current approach to solution of neutron transport equation has been earlier used for LWR lattice problems. The analysis of the C5MOX benchmark is a opportunity to test its applicability to heterogeneous reactor problem. Computer code COHINT, which incorporates a routine for solution of neutron transport equation in X-Y geometry by interface current approach was used for this analysis by representing the fuel rod as a square one. Region interface angular fluxes are represented by a four-term expansion. It is found that the average pin power error is about 2.28 % (peak pin error 4.1 %) relative to reference calculations. Further improvement is possible by introduction of the capability to represent circular rods with in a square cell in COHINT.     

Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.     

板坯电渣重熔炉结晶器报废原因分析及改进措施

着重对舞钢公司40 t板坯电渣重熔炉结晶器的报废原因进行了分析研究,阐述了针对该类型结晶器所制定的维护、修复与报废标准,同时提出了延长结晶器使用寿命和降低结晶器使用成本方面的一些措施和设想展望。     

Decentralized adaptive recurrent neural control structure

This paper presents a novel decentralized variable structure neural control approach for large-scale uncertain systems, which is developed using recurrent high-order neural networks (RHONN). It is assumed that each subsystem belongs to a class of block-controllable nonlinear systems whose vector fields includes interconnection terms, which are bounded by nonlinear functions. A decentralized RHONN structure and the respective learning law are proposed in order to approximate online the dynamical behavior of each nonlinear subsystem. The control law, which is able to regulate and to track the desired reference signals, is designed using the well-known variable structure theory. The stability of the whole system is analyzed via the Lyapunov methodology. The applicability of the proposed decentralized identification and control algorithm is illustrated via simulations as applied to an interconnected double inverted pendulum.     

基于波传播方法的边界条件对圆柱壳振动特性的影响分析

在波传播分析方法基础上,采用一种改进傅立叶级数的方法建立了弹性约束边界条件下圆柱壳结构模态分析模型,结合模态叠加理论,给出了圆柱壳结构在任意径向点力激励下的振动响应.通过与商业分析软件ANSYS的结果比较验证了本文方法的高效性与精确性,随后详细分析了边界约束刚度对圆柱壳结构自由振动特性和结构振动响应的影响,并给出了刚度影响的一般性规律.     

串联补偿线路SSR分析研究

随着我国电力系统的发展,串联电容补偿在输电系统的应用越来越广泛,但其引起的次同步谐振（SSR）问题也随之而来。针对输电网中串联电容补偿引发的次同步谐振,文章采用基于时域仿真实现的复转矩系数法分析了不同发电机出力以及不同串补度对系统次同步谐振的影响。仿真验证了故障情况下,较小串补度系统对次同步谐振的稳定性。     

虚拟样机成为开发新型低压电器的关键技术

计算机可视化仿真技术的发展使人们可以在计算机内建立一个虚拟样机，代替传统的反复进行实际样机制造和试验的开发过程，大幅度缩短开发周期和节约开发成本，并实现优化设计，介绍了该技术在低压电器中的应用。