Vehicle routing optimization algorithm based on time windows and dynamic demand

To provide the supplier with the minimizum vehicle travel distance in the distribution process of goods in three situations of new customer demand,customer cancellation service,and change of customer delivery address,based on the ideas of pre-optimization and real-time optimization,a two-stage planning model of dynamic demand based vehicle routing problem with time windows was established.At the pre-optimization stage,an improved genetic algorithm was used to obtain the pre-optimized distribution route,a large-scale neighborhood search method was integrated into the mutation operation to improve the local optimization performance of the genetic algorithm,and a variety of operators were introduced to expand the search space of neighborhood solutions;At the real-time optimization stage,a periodic optimization strategy was adopted to transform a complex dynamic problem into several static problems,and four neighborhood search operators were used to quickly adjust the route.Two different scale examples were designed for experiments.It is proved that the algorithm can plan the better route,and adjust the distribution route in time under the real-time constraints.Therefore,the proposed algorithm can provide theoretical guidance for suppliers to solve the dynamic demand based vehicle routing problem.

《水浒传》“灵官殿”小考——兼及《水浒传》成书时间问题

《水浒传》第十三回和第十四回都写到了刘唐醉卧灵官殿,这应是灵官信仰在民间较为普遍所致。有关灵官之名及其事迹、信仰的记载都大量出现于明永乐年间之后,因此,关于灵官殿的细节应视为推断《水浒传》成书时间的重要参考依据。

唐宋时期狩猎赋综论

唐宋两个朝代,赋体文学有了新的发展。作为赋体文学最重要的题材之一,狩猎赋的篇数超过之前几代,质量却参差不齐,当代赋学研究者往往轻视这段历史时期的赋作。本文介绍了唐宋时期狩猎赋的总体情况并就部分代表作品的具体内容进行阐述。

Aggregating metasearch engine results based on maximal entropy OWA operator

The maximal entropy ordered weighted averaging （ME-OWA） operator is used to aggregate metasearch engine results, and its newly analytical solution is also applied. Within the current context of the OWA operator, the methods for aggregating metasearch engine results are divided into two kinds. One has a unique solution, and the other has multiple solutions. The proposed method not only has crisp weights, but also provides multiple aggregation results for decision makers to choose from. In order to prove the application of the ME-OWA operator method, under the context of aggregating metasearch engine results, an example is given, which shows the results obtained by the ME-OWA operator method and the minimax linear programming （ minimax-LP ） method. Comparison between these two methods are also made. The results show that the ME-OWA operator has nearly the same aggregation results as those of the minimax-LP method.

A hybrid algorithm based on tabu search and large neighbourhood search for car sequencing problem

The car sequencing problem(CSP)concerns a production sequence of different types of cars in the mixed-model assembly line.A hybrid algorithm is proposed to find an assembly sequence of CSP with minimum violations.Firstly,the hybrid algorithm is based on the tabu search and large neighborhood search(TLNS),servicing as the framework.Moreover,two components are incorporated into the hybrid algorithm.One is the parallel constructive heuristic(PCH)that is used to construct a set of initial solutions and find some high quality solutions,and the other is the small neighborhood search(SNS)which is designed to improve the new constructed solutions.The computational results show that the proposed hybrid algorithm(PCH+TLNS+SNS)obtains100best known values out of109public instances,among these89instances get their best known values with100%success rate.By comparing with the well-known related algorithms,computational results demonstrate the effectiveness,efficiency and robustness of the proposed algorithm.

Compact Scanning Tunneling Microscope with Large Scale Searching Capability for Mmultidisciplinary Applications

We present the design and performance of a home-built scanning tunneling microscope （STM）, which is compact （66 mm tall and 25 mm in diameter）, yet equipped with a 3D atomic precision piezoelectric motor in which the Z coarse approach relies on a high simplic-ity friction-type walker （of our own invention） driven by an axially cut piezoelectric tube. The walker is vertically inserted in a piezoelectric scanner tube （PST） with its brim laying at on the PST end as the inertial slider （driven by the PST） for the XZ （sample plane） motion. The STM is designed to be capable of searching rare microscopic targets （defects, dopants, boundaries, nano-devices, etc.） in a macroscopic sample area （square millimeters） under extreme conditions （low temperatures, strong magnetic elds, etc.） in which it ts. It gives good atomic resolution images after scanning a highly oriented pyrolytic graphite sample in air at room temperature.

数字经济背景下平台型企业商业模式创新研究——以大搜车为例

近年来,我国"互联网+""国家大数据战略"等的实施推动了数字经济健康快速发展,但也伴随着风险和不确定因素,企业亟须建立起能更快更好适应环境的新型组织架构迎接挑战。本文基于数字经济不断发展完善的大背景,旨在研究平台型企业商业模式创新,通过对典型平台型企业"大搜车"的商业模式创新进行分析,以期了解平台型企业商业模式创新成功的关键所在。研究表明:企业商业模式创新存在商业模式类同、信息利用率程度不高等问题,要想取得成功任重道远。最后,本文有针对性地提出因地制宜,通识合变,重视科技与数据应用工作等对策,望帮助企业解决问题,提升竞争力,适应新环境。

A method of searching fault propagation paths in mechatronic systems based on MPPS model

In view of the structure and action behavior of mechatronic systems,a method of searching fault propagation paths called maximum-probability path search(MPPS)is proposed,aiming to determine all possible failure propagation paths with their lengths if faults occur.First,the physical structure system,function behavior,and complex network theory are integrated to define a system structural-action network(SSAN).Second,based on the concept of SSAN,two properties of nodes and edges,i.e.,the topological property and reliability property,are combined to define the failure propagation property.Third,the proposed MPPS model provides all fault propagation paths and possible failure rates of nodes on these paths.Finally,numerical experiments have been implemented to show the accuracy and advancement compared with the methods of Function Space Iteration(FSI)and the algorithm of Ant Colony Optimization(ACO).

西周宣王时期“大蒐礼”的文化意蕴——以《车攻》《吉日》为例

《诗经》作为中国最早的一部诗歌总集,也是西周礼乐文明的重要载体,军礼都作为中西周礼乐中十分重要的组成部分。《诗经》的战争诗中就有关于军礼一些重要礼节的记录。其中《诗经·小雅》中《车攻》及《吉日》两篇记录的西周宣王时期的"大蒐礼"呈现出其独特的文化意蕴。

清华简《子仪》所记“大蒐”事考析

清华简《子仪》中有一段简文可能与"大"活动有关。简文"乃张大侯于东奇之外"应改释作"乃张(帐),大■(校)于东奇之外",大意是说:于是张设帐幕,举行盛大的军事校阅活动于东奇之外。其中的"大■度(校)"应该与古书所记"大蒐""大阅""大校猎""校阅"等性质相类,是指秦穆公通过大规模校阅军队向子仪炫耀武力,以达到威慑楚国的目的。

Academic Study of Religion in Universities, Southwest Nigeria： In Search of Social Identity/Relevance

Social theorists have engaged religion as a social agent and submitted that it has the capacity to foster positive and negative changes in the society. Milton Yinger, Emile Durkheim, and Karl Marx lead the pack among other sociologists. The need to therefore interrogate religion as an agent of social engineering cannot be overemphasized normatively and functionally. One of the implications of such engagement is that religion; study and practice need to respond to issues in the society. Basic challenges facing the Nigerian nation are issues of poverty, diseases, corruption, and illiteracy. However, in Nigerian universities, the situation posits that religion is studied with theological intentions based on the curriculum bequeathed by the missionaries that laid the foundation for the academic study of religion in Nigeria leading to exclusive and reductionist approaches to its study. There is also government policy that placed emphasis on science and management courses for development. The situation has led to reduction in students＇ enrolments for the study of religion in Nigerian universities. Therefore, this paper seeks explanations for the non-functional design（s） of the curriculum for the academic study of religion in universities, southwest of Nigeria. Descriptive and analytic methods were adopted in the study to pursue the thesis that the academic study of religion in Nigeria should be rebranded and repackaged to respond and interrogate social challenges/problems, such as the scourge of HIV/AIDS plaguing the society thereby recreating a new social identity and relevance for its study.

An effective discrete artificial bee colony algorithm for flow shop scheduling problem with intermediate buffers

An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effective combination of the insertion and swap operator is applied to producing neighborhood individual at the employed bee phase. The tournament selection is adopted to avoid falling into local optima, while, the optimized insert operator embeds in onlooker bee phase for further searching the neighborhood solution to enhance the local search ability of algorithm. The tournament selection with size 2 is again applied and a better selected solution will be performed destruction and construction of iterated greedy(IG) algorithm, and then the result replaces the worse one. Simulation results show that our algorithm has a better performance compared with the HDDE and CHS which were proposed recently. It provides the better known solutions for the makespan criterion to flow shop scheduling problem with limited buffers for the Car benchmark by Carlier and Rec benchmark by Reeves. The convergence curves show that the algorithm not only has faster convergence speed but also has better convergence value.

Future of Public Relations Curriculum： Searching for the Ideal Undergraduate Public Relations Curriculum

This study analyzes the public relations curricula of 44 American colleges that have a Public Relations （PR） Student Society of America （PRSSA） chapter. Through content analysis, this study examines general requirements, core public relations courses, requirements of public relations programs and strategic communication programs, and optional public relations courses offered by the colleges. The findings of this study reveal that very few public relations programs offer courses involving new media, crisis communication, and PR ethics. In order to keep in touch with the fast-changing public relations landscape, more PR programs should require and integrate new media, crisis communication and ethics courses.

Automatic pipes routing based on flow loss in electromechanical product

Based on flow loss, a new automatic pipe-routing algorithm is proposed for electromechanical product in 3D space, which consists of pre-processing and optimization search. Utilizing chaos theory, a chaos grid preprocessing model （CGPM） is established to efficiently pick up the solution space and reduce the search range in the pre-processing, which simplifies the optimization search. A modified particle swarm optimization （PSO） algorithm is presented to seek for an approximate optimal trajectory in the solution space in the optimization search based on standard PSO algorithm and migration characters of people. The comparison of experiments and analysis results shows that the modified PSO algorithm is capable of preventing prematurity effectively and searching for the optimal trajectory more efficiently. Theoretical analysis proves that the modified PSO algorithm converges at global optimum. The examples show that the automatic pipe-routing algorithm based on flow loss is effective and practical for eleetromechanieal product.

Control of Neural Network Feedback Linearization Based on Chaotic Particle Swarm Optimization

A new chaotic particle swarm algorithm is proposed in order to avoid the premature convergence of the particle swarm optimization and the shortcomings of the chaotic optimization, such as slow searching speed and low accuracy when used in the multivariable systems or in large search space. The new algorithm combines the particle swarm algorithm and the chaotic optimization, using randomness and ergodicity of chaos to overcome the premature convergence of the particle swarm optimization. At the same time, a new neural network feedback linearization control system is built to control the single-machine infinite-bus system. The network parameters are trained by the chaos particle swarm algorithm, which makes the control achieve optimization and the control law of prime mover output torque obtained. Finally, numerical simulation and practical application validate the effectiveness of the method.

穆公簋盖所记周穆王大蒐事考

西周穆王时期的穆公簋盖,因其铭文中个别字词的误释误解,导致盖铭所记事件性质不明。本文释铭文首句的地名为见于殷墟甲骨文记载的一个著名田猎地;又结合对铭文"商师"、"周"两地的考证,并与商代铜器宰甫卣铭文相关史实进行比较,判定穆公簋盖铭所记的乃是周穆王时期的一次大蒐活动,从而为研究西周时代大蒐礼和周穆王游行之事发掘了一份珍贵史料。

An immune-tabu hybrid algorithm for thermal unit commitment of electric power systems

This paper presents a new method based on an immune-tabu hybrid algorithm to solve the thermal unit commitment （TUC） problem in power plant optimization. The mathematical model of the TUC problem is established by analyzing the generating units in modem power plants. A novel immune-tabu hybrid algorithm is proposed to solve this complex problem. In the algorithm, the objective function of the TUC problem is considered as an antigen and the solutions are considered as antibodies, which are determined by the affinity computation. The code length of an antibody is shortened by encoding the continuous operating time, and the optimum searching speed is improved. Each feasible individual in the immune algorithm （IA） is used as the initial solution of the tabu search （TS） algorithm after certain generations of IA iteration. As examples, the proposed method has been applied to several thermal unit systems for a period of 24 h. The computation results demonstrate the good global optimum searching performance of the proposed immune-tabu hybrid algorithm. The presented algorithm can also be used to solve other optimization problems in fields such as the chemical industry and the power industry.