针对标准粒子群算法中种群多样性丧失导致过早收敛、陷入局部最优解等问题,借鉴自然界中动物群体分工协作的现象,引入粒子协作模式概念,不同协作模式代表了粒子的不同行为模式,群体分工协作可有效保持种群多样性、增强算法寻优能力和改善早熟收敛问题,基于分工协作优点提出一种基于微粒群体分工协作的粒子群优化算法.使用几种典型的基准测试函数进行仿真试验,结果显示改进后的算法寻优能力显著高于标准粒子群算法,与其他改进算法相比较,所提算法的寻优能力具有一定优势.

为提高教学督导管理工作的处理效率和管理水平,设计并实施了一个督导听课计划管理系统,解决了兰州工商学院教学督导管理工作中的实际问题.该系统的应用在学校教学督导管理工作中发挥了重要作用,获得了较好的效果.

在全程育人、全方位育人的背景下,分析了网络信息安全课程的特点和课程思政教育目标,从教师思政教育意识的提高、利用信息安全事件案例、结合信息安全领域相关法律和应用心理学规律等几个方面探索课程思政的实现路径,为信息安全类课程的课程思政的开展提供参考.

为提高毕业论文管理工作的效率和水平,采用适当的技术自主研发并应用了一个基于B/S架构的毕业论文管理系统.该系统可较好满足兰州工商学院对系统成本低、改进灵活和维护简单的需求.实践证明:该系统在学校毕业论文管理工作中发挥了重要作用,取得了较好的效果,值得推广应用和借鉴.

教育部推进新文科建设,是全面振兴本科教育,深化教学改革的又一重大举措,为新时代培养高质量电子商务专业人才指明了方向.新文科建设从三个方面赋予电子商务专业人才培养的新理念,即体现中国特色,坚持中国道路;专业素养和人文素养的双提升;重视学科交叉融合,创新人才培养.赋予电子商务专业人才培养的三条新路径:打造专业技术教育与人文素养教育相结合的课程体系;加强课程创新与交叉融合新技术;加强师资队伍建设与重视实践教学师资力量.

We compare Generic Algorithm and Particle Swarm Optimization algorithm by several benchmark functions. The result indicates that Particle Swarm Optimization is better than Generic Algorithm in optimum value and searching speed.

最大团问题(MCP)是图论中的一个传统问题,在很多领域都有广泛的应用.主要利用已有研究的相关结论,将(MCP)的二次0-1规划模型等价转化为一个线性混合整数规划模型,再利用计算线性混合整数规划的软件求解.通过对所构造实例的计算,验证了求解(MCP)方法的有效性.

据艾瑞咨询的统计报告显示,2013年以B2B电子商务和传统网络零售为核心代表的广义电商交易额接近10万亿,其中网络购物在未来五年中的增速预计将为22%。电子商务的发展加剧了企业的竞争,在这个信息爆炸的时代,如何充分利用现有信息,为企业决策者提供决策支持,成为一个十分迫切的又棘手的问题。本文利用Apriori算法挖掘客户的行为模式和购买组合,根据用户的兴趣度和置信度,产生相应的推荐侯选集,从而帮助网站制定针对目标客户的营销方案,进行商品推广,提高客户的忠诚度,增强电子商务网站的竞争能力。

There are many problems in talent cultivation mode of computer science in independent college in western china.After analysing characteristic of current situation,based on training objective,training standard,training program,practice session and teaching faculty construction talent cultivation mode of computer science in independent college of western china was proposed.

A semantic annotation method on the web space for supporting user browsing activities was proposed.Semantic transcoding which is translation techniques based on the reference ontology is exploited.It can make the features extracted from the annotated and semantically homogeneous resources,then user intention models are built with access patterns of the annotated resources,and probability approach can be used to recognize user intentions.Semantic transcoded resources can be compared with each other or with the estimated user intentions.Furthermore,the similarity between a particular user intention and resources with heuristic functions was measured.Finally,in browsing semantically heterogeneous web space,users can search well the relevant information.

CAI课件的综合评价在目前我国的教育技术中越来越多的受到人们重视与关注,如何建立一整套科学、合理、完整的CAI课件评价体系已经是摆在我们面前的一个重要研究课题。本文试图在集对分析理论的基础上,分析了影响CAI课件质量的因素,并构建了一个基于集对理论的CAI课件综合评价模型和方法。

A particle swarm optimization that can make use of distributed computing property of cloud computing is proposed.The simulation results show that the algorithm can take the property of cloud computing,and that in tests of three common Benchmark functions,the average minimum found by the algorithm is at least 71% less than the standard PSO with an equal number of particles.

本文结合SPA（集对分析）理论中关于处理确定与不确定性的联系数理论方法，提出了一种基于SPA理论的区间数排序的新方法。通过联系数中不确定性变化趋势，将该区间数转化为对应的联系数表达式，并由联系数势值的大小进行相应的排序。最后，通过一个具体例子说明该算法的有效性。

随着信息时代的到来,人们也越来越重视信息的重要性,信息就是机遇,信息就是金钱,谁掌握了信息,谁就掌握了主动权,但是网络给我们提供了大量的信息,我们又如何从海量信息中迅速、准确的取得我们所需要的信息呢.本文从介绍当前主流的搜索引擎技术和存在的问题人手,引出自然语言处理技术,力求通过使用此技术来解决当前信息搜索中遇到的问题.

Concerning the fact that the standard Particle Swarm Optimization(PSO) algorithm has the problem of population diversity lose and premature convergence,using the feature of independent individual behavior of social animals in nature for reference,this paper proposes the concept of individual state.A Particle Swarm Optimization(PSO) algorithm based on individual state and state transition is proposed and tested with several typical benchmark functions.The result indicates that the algorithm is significantly superior to standard PSO in performance of optimization.Compared with other improved algorithms,it is also excellent in performance of optimization.

For improving the process efficiency and managed level of graduation thesis management,a graduation thesis selection system based on WEB and WAP was constructed,which implements inputting theses by teachers,checking by administrator,thesis selection by students and uploading thesis copy etc.The highlight of this system is that students can select thesis by mobile phone,this feature has great convenience for student users.Actual application has a good result.

The generic algorithm and particle swarm optimization algorithm are compared by several benchmark functions.The result indicates that the latter is better in optimal value and searching speed than the former.