带退化因子的人工代谢算法在多对象物流配送优化中的应用

在多对象优化的物流配送中,需要对配送对象实行均衡调度。本文提出了一种含退化因子的人工代谢算法。每一种配送对象对应了不同的代谢底物,每一种配送对象的优先级对应了相应的催化酶,每一次配送对应一次代谢过程。为了降低代谢算法的复杂度,完成配送任务后,初始化时形成的催化酶需要有规律地退出代谢体系。通过对代谢算子等参数的分析,为人工酶设立了不同等级的退化因子。根据对酶优先级的辨识,按照代谢优化的进程,使已完成寻优搜索的代谢路径有序地退出本次代谢网络,提高整个代谢网络运行效率,为后续的物流配送路径缩小搜索空间,实现多对象配送过程的优化。     

基于BIRIS的海运物流服务平台案例研究

With increasing competition in international marine logistics service industry, the voice of improving marine logistics service for reducing operation cost and improving service quality is much higher. Aiming at the marine logistics services between Weihai and Korea, this paper makes a case study to design a BIRIS-based public platform for this service. Firstly, current business scenarios of Sino-Korea marine logistics services are briefly analyzed and some business issues that need to be solved urgently are listed, e.g., lack of effective communication channel between cargo owners and various service providers, low coordination efficiency between different service providers etc. Aiming at these problems, a BIRIS based marine logistics service platform is designed. TO-BE business scenario, SOA techniques for developing such platform, and some examples of identifying services, designing service interfaces and designing portal for each service provider, are elaborately shown.     

基于嵌入式技术的移动机器人遥控系统设计

遥控导航是军用地面移动机器人系统的重要组成。面向野外环境下的单兵携带式微小机器人,设计并实现了一种基于嵌入式技术的遥控系统。该系统采用主从遥控和半自主控制相结合的导航控制方式,通过无线视频传输实现超视距远程遥控,通过基于导航图像的路径关键点规划实现半自主导航。     

地方院校教育技术专业媒体类课程整合研究

近十多年教育信息化进程导致社会对教育技术人才专业能力需求的变化,要求教育技术专业能力素质的培养从重教学系统设计转变为重媒体资源开发能力。为应对这种转变,本文从社会需求、专业核心能力、地方本科院校教育技术专业媒体技术类课程设置及综合能力培养方面进行了探讨,并提出了改进的措施与建议。     

Performance index based learning controls for the partial non-regular systems using lifting technique

Deficiencies of the performance-based iterative learning control （ILC） for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of performance index based ILCs for the partial non-regular systems. Two ldnds of optimal ILCs based on different performance indices are considered. Finally, simulation examples are given to illustrate the feasibility of the proposed learning controls.     

Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units

The warehouse order-picking operation is one of the most labour-intense activities that has an important impact on responsiveness and efficiency of the supply chain. An understanding of the impact of the simultaneous effects of customer demand patterns and order clustering, considering physical restrictions in product storage, is critical for improving operational performance. Storage restrictions may include storing non-uniform density stock keeping units (SKUs) whose dimensions and weight constrain the order-picking operation given that a priority must be followed. In this paper, a heuristic optimisation based on a quadratic integer programming is employed to generate a layout solution that considers customer demand patterns and order clustering. A simulation model is used to investigate the effects of creating and implementing these layout solutions in conjunction with density zones to account for restrictions in non-uniform density SKUs. Results from combining layout optimisation heuristics and density zoning indicate statistical significant differences between assignments that ignore the aforementioned factors and those that recognise it.     

浅谈计算机信息技术在图书馆中的应用

在社会日益发展的今天,传统的图书馆服务模式已经无法适用新形势的发展要求,数字化、网络化等计算机信息技术的出现并应用,促使图书馆从传统功能模式向开放式、网络式的信息服务模式转变,由单一功能向多功能转变,从根本上推动了图书馆事业的发展。     

A computer-enabled solution procedure for food wholesalers’ distribution decision in cities with a circular transportation infrastructure

This paper addresses the food distribution decision from a wholesaler's perspective, as the wholesalers are often faced with thorny issues such as when, where, how to deliver products at the lowest costs to best satisfy the retailers’ changing needs. This research relies on a distribution problem encountered at Northern Grocery Company in Beijing as an example to develop a two-stage solution procedure and subsequent computer-enabled programs for identifying efficient vehicle routing alternatives. The solution process, which integrates heuristic search algorithms and an integer programming model, can be applied to a wide range of distribution problems with specified route durations and a circular transportation network structure as exemplified by City of Beijing.     

Design optimization of resource combination for collaborative logistics network under uncertainty

Collaborative logistics networks (CLNs) are considered to be an effective organizational form for business cooperation that provides high stability and low cost. One common key issue regarding CLN resource combination is the network design optimization problem under discrete uncertainty (DU-CLNDOP). Operational environment changes and information uncertainty in network designs, due to partner selection, resource constrains and network robustness, must be effectively controlled from the system perspective. Therefore, a general two-stage quantitative framework that enables decision makers to select the optimal network design scheme for CLNs under uncertainty is proposed in this paper. Phase 1 calculates the simulation result of each hypothetical scenario of CLN resource combination using the expected value model with robust constraints. Phase 2 selects the optimal network design scheme for DU-CLNDOP using the orthogonal experiment design method. The validity of the model and method are verified via an illustrative example.     

基于跳频和同步捕获技术的水下无线通信技术研究

本文所阐述的水下无线技术即基于跳频技术和同步捕获技术的水声通信,由于声波在海水中的传播特性显著优越于电磁波和可见光,使得水声技术成为海洋高技术的主要研究领域之一 ,在国防领域也具有十分重要的研究意义.本文主要论述了水声通信中跳频技术和同步捕获技术的原理、具体算法的实现方案以及部分硬件设施的使用简述,并通过展示实验结果验证算法的可行性.