A lagrange expansion for the parameters of johnson's Su

A series, based on Lagrange's formula, is given for the kurtosis in terms of the skewness and the ω-parameter of S_u. Also a Maclaunn expansion for a function of ω in terms of the skewness and kurtosis is described.     

Constructing Efficient Experimental Designs for Generalized Linear Models

Exchange algorithms are popular for finding optimal or efficient designs for linear models, but there are few discussions of this type of algorithm for generalized linear models (GLMs) in literature. A new algorithm, generalized Coordinate Exchange Algorithm (gCEA), is developed in this article to construct efficient designs for GLMs. We compare the performance of the proposed algorithm with other optimization algorithms, including point exchange algorithm, columnwise-pairwise algorithm, simulated annealing and generic algorithm, and demonstrate the superior performance of this new algorithm.     

煤炭产业国际竞争力的遗传—投影寻踪评价

结合煤炭产业发展实际,提出了煤炭产业竞争力评价的指标体系。采用探索性数据分析方法——投影寻踪法,结合遗传算法,建立了遗传—投影寻踪综合评价模型。以全球11个主要产煤国作为研究样本,根据投影方向参数计算得出了各国的煤炭产业竞争力评价分类特征值和总体综合特征值,并对我国煤炭产业竞争力进行了分析,对于认清我国煤炭竞争力与国外主要产煤国之间的差距与不足,进而提升我国煤炭产业的国际竞争力具有重要的现实意义。     

价格敏感型供应链网络规划模型及其混合遗传算法

针对价格敏感型供应链中,供应价格与批量之间通常具有非线性的函数关系,建立了采购、需求和物流服务环节均具有价格敏感性的多供应商、多配送中心和多零售商的供应链网络规划整数非线性规划INLP模型,设计解决此NP-hard问题的混合遗传算法,以启发式算法修复进化过程中出现的非法染色体,提高算法寻优速度,通过算例及与SAS/OR模块运行结果的比较,验证该算法具有很强的稳定性和高效性。     

Development of an algorithm for the application of Group Technology in the design of Manufacturing Systems

The Group Technology theory identifies and groups similar parts into families and machines into cells, advantages being in the similarity of the parts made in each cell, and designing and manufacturing. The benefits are: simple material flow, cost reduction in material handling, reduction in work in progress, reduction in the cycle time and set-up time, increased manufacturing flexibility, increased quality, and increased job satisfaction. The objective of the work presented in this paper was to develop a Group Technology (GT) algorithm by means of cell analysis for the design of the productive system to batch production, e.g. water heater manufacturing, system manufacturing, lathes manufacturing, etc. The TGIP algorithm allows the definition of technical and economical parameters for the application of Group Technology, also taking into account the demand for the performance of the algoof heating gasrithm. The benefits of the algorithm developed are the focus on solving the case of multiple machines and the assignment of the parts to the groups related to the load of the machines; also it allows the definition of technical and economical parameters to differentiate the machines that do the same operation or even the consideration of the demand for a certain period of time.     

改进的Electre方法在反应型供应链供应商

分析了反应型供应链的特点，建立了反应型供应链供应商的评价指标体系，并将改进的Electre算法引入到供应商的评价与选择过程当中。通过算例说明所提出的评价指标体系的合理性以及算法的有效性。     

电力系统二级电压控制中枢节点的选择

二级电压控制根据中枢节点电压预设值调节控制装置的控制方案。二级电压控制的目标是将负荷节点电压偏离降至最小,从而增强电力系统的安全性。因而中枢节点的选择是二级电压控制的关键。本文提出了中枢节点选择的新方法——K-优化贪婪算法,并以ieee-30节点系统为例进行了案例研究。     

新型免疫克隆算法在永磁无刷直流电机系统中的应用

为了提高电机控制系统的动态响应和稳定性,提出于一种基于对抗制的优化免疫克隆算法,引入联赛对抗的机 制,在抗体更新的过程中,产生多组具有指向性的抗体,按赛制规则淘汰筛选,以获得最优的PID控制器参数。在永磁无 刷直流电机系统下的仿真结果表明：与一般PID控制器相比,免疫克隆算法优化控制下的永磁无刷直流电机系统具有较 好的动态特性和稳定性能。     

Handling the Label Switching Problem in Latent Class Models Via the ECR Algorithm

Latent class models (LCMs) are specific cases of mixture models. Under a Bayesian setup, the symmetric posterior distribution of these models leads Markov chain Monte Carlo (MCMC) methods to suffer from the so-called label switching problem. In this article, we treat the corresponding MCMC outputs using a recent approach, namely, the Equivalence Classes Representative (ECR) algorithm and conclude that it can effectively solve the label switching problem by considering several examples of LCMs, such as mixtures of regressions, hidden Markov models, and Markov random fields. Moreover, the superiority of this method over other approaches becomes apparent.     

改进的Wiener滤波在图像恢复中的应用简

在Wiener滤波进行图像恢复时,利用遗传算法（GA,Genetic Algorithm）全局和局部搜索力强的优势,搜索Wiener滤波的信噪比最优Г.为了得到最优Г值,利用峰值信噪比（PSNR,Peak Signal-to-Noise Ratio）作为图像恢复质量评价指标,对经过处理的LIVE数据库图像、IKONOS、ZY-3卫星图像进行实验.结果表明：无论图像噪声大小,该方法都可以找到Wiener滤波的最优Г值.