网络化制造模式下基于改进蚁群算法的供应链调度优化研究

为制定网络化制造（networked manufacturing,NM）模式下供应链合作成员间的动态调度策略,构建了由制造商、协同设计商以及客户组成的三层动态调度模型;在生产能力约束、多目标优化约束等制约因素下,采用时间函数、成本函数和延期惩罚函数三个目标函数对调度问题进行描述;使用改进蚁群算法（improved ant colony optimization algorithm,IM-ACO）,对调度路径可行解节点添加不同的信息素,并将信息素浓度约束在τ_min和τ_max之间,使得供应链客户个性化需求服务、运作时间、成本等综合收益达到最优. 实例仿真表明本文提出的动态调度优化算法求解具有较快的搜索速度、收敛性好,算法具有较好的稳定性;同时,也表明本文构建调度模型合理,可以为实际生产调度提供优化的策略.     

基于模型预测控制的跳跃式再入制导算法研究

针对深空探测跳跃式再入返回飞行任务,提出了一种快速的再入制导算法,该算法基于模型预测控制（model predictive control,MPC）理论和近似动态规划（approximate dynamic programming,ADP）技术,将再入制导问题转化为两点边值问题,然后采用高斯伪谱法（Gauss pseudospectral method,GPM）求解该问题,实现快速制导计算。同时为了达到制导精度和制导效率的综合最优,提出了一种数值预报校正（numerical predictor-cor-rector,NPC）制导算法和快速再入制导算法融合的分段混合制导策略,该策略能对快速制导算法带来的制导偏差进行及时的修正,从而保证制导精度。蒙特卡罗仿真实验表明,与传统的数值预报校正制导算法相比,快速混合制导算法不仅能保证较高的制导精度,而且大幅减少了平均制导计算耗时,具有极大的在线应用潜力。     

试论传统气论的系统论意义简

以中医和道教理论为主干组成的中国传统气论是现代人体系统论的“近亲”。它把人看做是一个不可分割的“活结构”,在整体观、联系观、恒动观等多方面与现代系统论对生命规律的认识论有高度的一致性。在这个意义上,传统气论是崭新的,它可以为现代科学、哲学提供一些新的思路。同时它又是古老的,由于本身的历史局限,使它没有走上以准确、精确为基本要求的科学殿堂。     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

Ptfv_1临床意义的探讨

Ptfv1值在判断心功能状态时具有参考价值 ,故密切注意患者的心电图Ptfv1的动态变化具有较重要的临床意义     

单机E/T调度问题的动态规划新解法

本文利用最优调度的目标函数的性质，放弃了参数为整数的假定，改进了求解单机的Ｅ／Ｔ调度问题的动态规划算法，使其在时间复杂度和空间复杂度两方面都有提高     

Generalized Reactive Manufacturing System

Generalized reactive manufacturing system named GRMS is introduced. GRMS is a human-centered system based on Multi-agent. Its management and control organization is made up of three types of agents named device agent, task agent and shop-floor agent. GRMS adopts a top-down and bottom-up competition and cooperation strategy based on the dynamic sifter and funnel . To constrain the behavior of agents, a reward and penalty policy is introduced into the system and the closed-loop adjustment of GRMS is realized through such policy. Agents for the same task should be cooperated with each other and agents for different tasks should compete for survival in the dynamic changing environment. A distributed-hierarchical architecture with three levels of master-slave relationships among agents are proposed. Self-propelled process planning is also discussed. In order to evaluate GRMS, a time-driven simulation system-GRMOSS is developed to check the physical consistency of GRMS.     

动态多媒体网页的制作及研究

利用现代技术，通过网页与数据库系统的连接，同时采用多媒体技术与网页技术相结合，创建新颖别致的动态网站，同时，开发了DHTML方式的课件制作技术及课件制作工具，特别是通过采取图像的可替代方式和重复使用等措施，解决了网页的多媒体视觉效果和下载速度这一矛盾。     

基于遗传算法的动态聚类方法

针对常规动态聚类方法对初始聚类中心的敏感性以及聚类结果与样本输入次序有关等问题，本文另辟蹊径，提出了一种基于ＧＡ 的动态聚类方法，并将它应用到数据库的数据分析中． 计算结果表明，该方法是一个具有全局最优解的动态聚类方法，其结果明显好于Ｋ－均值聚类算法．     

技巧混合双人组第三套联合套路的设想

纵向分析了国际技巧规则,阐明了在技巧运动规则不断变化中,我国混合双人组所受到的影响,从而提出混双组在运用新规则中如何把握、进行"难、新、稳、美"指导训练,创造好的成绩以及创新第三套的专项特色,为此提出了相关的看法与建议。