基于混合遗传算法的码书设计方法

将遗传算法与LBG算法相结合,得到了一种矢量量化码书设计算法.利用遗传算法的全局优化能力得到最优的矢量量化码书;同时,克服了传统遗传算法收敛速度慢的缺点.实验结果表明,文中提出的算法性能上优于LBG算法,且收敛速度较快.     

赡こ碳际醮笱У缙こ滔?辽宁阜新1213000 ,辽宁阜新

准遗传算法易发生成熟前收敛和收敛速度过慢的缺点,提出了保护优秀个体、引入外来移民以及采用自适应交叉和变异算子等改进策略。综合分析了它们对算法收敛性的影响。应用改进遗传算法对PID控制器参数进行优化设     

基于改进遗传算法的农产品配送路径优化研究

以第三方物流企业为视角,在保证配送质量最高的情况下,将配送成本最低作为优化目标,构建多目标农产品配送路径优化模型。针对此类NP问题,结合改进的遗传算法,在Matlab2015环境下设计仿真实验。结果表明,改进的遗传算法在解决此类问题时,可行解能够快速收敛到帕累托最优,同时证明了模型和算法的科学性。     

含分布式电源配电网的无功优化

提出了基于改进遗传算法的含分布式发电的配电网无功优化方法。构建了包舍分布式发电系统的配电网无功优化数学模型，采用改进遗传算法对分布式发电的无功功率给定进行了优化矗通过算例仿真结果，说明所设计的改进优化算法在减少功率损耗和提高电压质量上的有效性和正确性。     

基于图论的认知无线网络频谱动态分配

在认知无线电网络中，图论与量子遗传算法相结合的频谱分配策略能够提高频谱利用率，但存在早熟和收敛精度不够等缺点。为了解决该问题而实现算法的优化，对图着色理论的频谱分配模型进行数学建模，并针对该模型提出了改进的量子遗传算法。首先，通过使用小生境技术初始化种群，使种群分布更加广泛、算法的收敛度更高；其次，根据进化代数对量子旋转角进行实时动态调整，对染色体进行阈值变异，防止个体陷入早熟，跳出局部解；然后，对干扰约束条件进行重新设计，有效地避免盲目性，提高了网络的公平性和网络效益。仿真结果表明，所提算法有效地提高了频谱利用率，极大地增强了网络系统的性能。     

利用改进简化PSO优化设计多层吸波材料

现有的粒子群优化算法（PSO）在传统多层平板吸波材料的优化过程中收敛速度慢，寻优精 度低。为了改善设计的收敛速度和寻优精度，利用改进简化粒子群优化方法（ISPSO）在传 输线法计算模型基础上对多层吸波材料进行了优化设计。优化设计结果表明，在08～6 GHz范围内，5层吸波材料的反射系数在-22.98 dB以下，得到的结果比现有文献好。     

基于GA-BP神经网络的顾客满意度测评研究

本文利用遗传算法与神经网络的特性,建立了基于GA-BP神经网络的顾客满意度测评模型。该模型首先将BP网络的权值和阈值通过遗传算法进行优化,然后对BP网络进行训练。网络最终测评结果较BP神经网络更有效、准确。通过某商场实例数据证明此测评模型收敛速度快、预测精度高,为顾客满意度测评提供了一种实用的方法。     

遗传算法研究概述

遗传算法是一种在群体的逐代遗传中,搜索出全局最优解的搜索优化算法.近年来由于遗传算法在解决复杂优化问题中显现出巨大优势,因此受到国内外学者的广泛关注.本文介绍了遗传算法的简单原理、设计方法,并概述了它的技术和应用领域.     

带熵的遗传算法在客户关系管理中的应用

遗传算法可以用于客户关系管理中，帮助企业获得更高的利润。针对遗传算法易陷入早熟收敛，笔者提出了一种带熵的遗传算法，并通过一个简单的实例研究将该改进的遗传算法应用在客户关系管理中。     

基于遗传算法的物流配送车辆优化调度

研究使用遗传算法求解物流配送组织过程中车辆调度问题,建立适合于遗传算法的车辆调度模型。设计描述行驶线路的染色体结构、初始群体生成方法、适应度函数、遗传算子和控制参数,构造完整的遗传算法。并给出算例,验证遗传算法有较好的优化性能。     

A model of Europeanisation with and without convergence

There is a general consensus that member state interaction within the EU system will lead to convergence and an overall improvement of domestic policies and administrative systems. This article poses that non-convergence is also possible and develops a model of Europeanisation that explains both convergence and non-convergence. It also identifies the circumstances under which member states could spread negative policies to other member states, leading to convergence to the bottom.     

Notes for Contributors

One aspect of globalisation is the convergence of income, media and technology, which in turn is expected to lead to homogeneous consumer behaviour. This convergence thesis is increasingly questioned. With converging national wealth there still is substantial variation of consumer behaviour across nations, which is not disappearing. Variation is found in all aspects of consumer behaviour: in consumption of packaged goods, in usage and ownership of durable goods, and in media behaviour. With disappearing differences of GNP per capita, culture is a powerful explaining variable. This paper provides evidence of divergence of consumer behaviour rather than convergence, it describes the influence of culture, how cultural variables can explain variance of consumption, and presents the consequences for international brand management and for global advertising.     

Globalization and the empowerment of talent

Many experts have identified globalization as the new way in which firms organize their activities and the emergence of talent as the new stakeholder in the firm. This paper examines the role of trade integration in the changing nature of the corporation. International trade leads to a ‘war for talent’ which makes it more likely that an organizational equilibrium emerges in the integrated world economy in which control is delegated to lower levels of the firm's hierarchy empowering human capital. Furthermore, trade integration is shown to lead to waves of decentralization and to convergence in corporate cultures across countries.     

Market convergence and advertising standardization in the European Union

In this study, we draw on industrial organization and institutional research to explore the relationship between market convergence and standardization of advertising programs. We argue that environmental isomorphism, which maintains that the external market environment is a principal driver of firms’ institutional structures, places pressure on firms to adapt their organizational structures and strategies to changing institutional conditions. We propose that the convergence associated with European market integration will lead firms to emphasize three advertising strategies: creating a uniform brand image, appealing to cross-market segments, and increasing cost performance in advertising. Further, we hypothesize that these strategies will be associated with an overall tendency to standardize advertising strategy and execution. Results of a survey of managers of subsidiaries of Japanese and U.S. firms operating in the EU suggest that firms that believe the EU is converging are more likely to engage in these standardized advertising strategies. Additionally, our findings suggest that firms that seek to create a uniform brand image and appeal to cross-market segments are more likely to standardize their overall advertising programs. Finally, we find that firms’ desire to create a uniform brand image is a function of their goal of building brand equity, regardless of the level to which markets converge. We draw implications for research and practice regarding firm responses to market convergence.     

Understanding multi-level institutional convergence effects on international market segments and global marketing strategy

Dynamic changes in the global marketplace have increased opportunities for marketing strategy standardization due to the convergence of cross-national market segments. An oversimplified understanding of the complexities of this convergence could lead to ineffective global marketing strategy execution. This study develops a multi-level institutional approach to address level-based convergence effects necessary to understanding market segment convergence and its influence on global marketing strategy. A model of influential level effects on global marketing strategy is developed having implications for global marketing academics and practitioners.     

Error analysis of finite difference and Markov chain approximations for option pricing

Mijatovi? and Pistorius proposed an efficient Markov chain approximation method for pricing European and barrier options in general one‐dimensional Markovian models. However, sharp convergence rates of this method for realistic financial payoffs, which are nonsmooth, are rarely available. In this paper, we solve this problem for general one‐dimensional diffusion models, which play a fundamental role in financial applications. For such models, the Markov chain approximation method is equivalent to the method of lines using the central difference. Our analysis is based on the spectral representation of the exact solution and the approximate solution. By establishing the convergence rate for the eigenvalues and the eigenfunctions, we obtain sharp convergence rates for the transition density and the price of options with nonsmooth payoffs. In particular, we show that for call‐/put‐type payoffs, convergence is second order, while for digital‐type payoffs, convergence is generally only first order. Furthermore, we provide theoretical justification for two well‐known smoothing techniques that can restore second‐order convergence for digital‐type payoffs and explain oscillations observed in the convergence for options with nonsmooth payoffs. As an extension, we also establish sharp convergence rates for European options for a rich class of Markovian jump models constructed from diffusions via subordination. The theoretical estimates are confirmed using numerical examples.     

Interaction effects of globalization and institutional forces on international HRM practice: Illuminating the convergence‐divergence debate

In the face of globalization, scholars continue to debate about whether a convergence in human resources practices will prevail, or a trend of divergence perspective will persist. Building on institution theory, this article helps to explicate this debate by examining how globalization may interact with different dimensions of local institutional forces to lead to convergence, divergence, or crossvergence in international HRM practices for enhanced performance. We also present useful propositions for guiding future empirical research and theory development on the interaction between globalization and different forms of local institutional forces, which in turn influence the formation of successful international HRM practices. © 2011 Wiley Periodicals, Inc.     

推动广东省先进制造业和现代服务业融合发展

广东作为制造业大省,在先进制造业与现代服务深度融合发展方面先试先行,经过一系列行之有效的政策举措,两业融合发展取得一定进展,但在两业融合发展推进过程中也面临诸多困难和挑战。在国际贸易保护主义上升、全球市场萎缩、新冠疫情蔓延的外部环境下以及新一轮科技革命和产业变革的激烈角逐中,如何促进产业间配合、推动制造业和服务业融合发展是粤港澳大湾区培育现代产业体系、提升自身产业链竞争力的重要内容。本文从产业发展基础、产业网络模型、产业关联基础树、产业群簇等角度和领域分析广东两业融合发展进展、面临的困难和挑战,并提出促进两业深度融合发展的政策建议。     

一种基于自适应阵列天线的波束赋形算法

自适应阵列天线中的数字波束赋形(DBF)技术是智能天线数字信号处理部分的核心.提出了一种可用于自适应阵列波束赋形的SMI-LMS算法--由SMI(采样协方差矩阵求逆)算法决定LMS(最小均方)算法的初始权向量.该算法充分结合了SMI算法收敛速度快和LMS算法稳态误差小的优点,能在较强干扰环境下,确保权向量的快速收敛和跟踪速度.与传统的LMS算法相比,SMI-LMS算法具有良好的收敛性能、较快的跟踪速度和较小的输出误差,并可以有效改善自适应方向图的副瓣性能.仿真结果验证了该结论.     

一种咬尾双二进制Turbo码并行译码方案

针对双二进制Turbo译码使用并行、滑动窗联合译码技术时，其咬尾的编码构造和窗分割导致边界状态值难以获取的问题，提出了一种新咬尾Turbo码并行、滑动窗译码方案——扩展交叠方案。该方案采用了边界状态盲估计和滑动窗状态回溯两种新译码技术。相比于传统的边界状态度量传播方法（又称迭代法），新方法一方面提高了边界状态度量的准确性，从而加快了译码收敛速度，一定程度上减小了高信噪比下的性能损失；另一方面避免了存储前一次译码的迭代度量值，更有利于硬件设计。仿真表明，新方案在64左右的中等窗长下即可消除并行和滑动窗影响，逼近原始无并行无滑动窗译码的性能，且窗长越小，其相较传统迭代法带来的译码性能增益就越明显。该方案具有较好的实用性和应用价值，可以满足5G的高速率、低时延和低存储的数据传输要求。