A new decomposition based evolutionary algorithm with uniform designs for many-objective optimization

For many-objective optimization problems, how to get a set of solutions with good convergence and diversity is a difficult and challenging work. In this paper, a new decomposition based evolutionary algorithm with uniform designs is proposed to achieve the goal. The proposed algorithm adopts the uniform design method to set the weight vectors which are uniformly distributed over the design space, and the size of the weight vectors neither increases nonlinearly with the number of objectives nor considers a formulaic setting. A crossover operator based on the uniform design method is constructed to enhance the search capacity of the proposed algorithm. Moreover, in order to improve the convergence performance of the algorithm, a sub-population strategy is used to optimize each sub-problem. Comparing with some efficient state-of-the-art algorithms, e.g., NSGAII-CE, MOEA/D and HypE, on six benchmark functions, the proposed algorithm is able to find a set of solutions with better diversity and convergence.     

浅谈多媒体教学与教育

文章主要讲述了计算机多媒体教学教育的发展过程与功能介绍,通过自己教学过程中所获得的经验,还有专家的一些深刻见解,提出了学校计算机多媒体教育教学的几点建议,希望可以给多媒体教育工作者提供一些宝贵经验和指导学习的正确方向。     

应用列对象的Tag属性实现多表数据动态查询

探讨在PB开发的应用程序中利用数据窗口列对象的Tag属性,结合自行设计的一个更改SELECT语句中的Where子句的全局函数,实现应用程序多表数据的动态查询。该种方法是PB开发的应用程序中实现数据查询的一种高效、简洁且行之有效的方法。     

ASP技术构建英语考试分析系统

考试是反馈教师教学效果以及学生对知识掌握程度的有效依据,随着网络技术的不断发展,英语考试的方式也将进行一次大的改革,从传统的有纸化考试到网络的无纸化考试以及考后的成绩统计分析都将是一次革命性的飞跃,利用ASP网页和数据库技术可以构建英语考试统计分析系统。     

农产品电子商务网站的建设与研究

农产品电子商务是一个借助于网络平台新型的农产品销售模式。用户将自己的各类相关信息按照一定的格式输入到电子商务这个系统中,此系统就会协助完成合同的签订、分类、传递和款项收付等全套业务,为卖方以较高的价格出售农产品,买方以较低的价格购入原材料提供了一条非常好的途径,而且也减少了运输渠道所带来的额外消费。因此,农产品电子商务网站的发展对农业的发展和农民的收入的提高有着极大的意义。     

基于.NET Remoting口令系统的设计

由于B/S模式下客户机对服务器的验证困难,提出了使用Remoting程序对网站的真伪进行验证。方案实现了客户端和服务器端的相互认证、服务器端敏感信息的安全存储和每次认证产生不同的会话密钥,安全分析表明,所提的方案能有效防范钓鱼网站等的常见攻击,增加了系统的安全性。方案使用.NET进行实现,证明是可行的。     

Handling multiple objectives with biogeography-based optimization

Biogeography-based optimization (BBO) is a new evolutionary optimization method inspired by biogeography. In this paper, BBO is extended to a multi-objective optimization, and a biogeography-based multi-objective optimization (BBMO) is introduced, which uses the cluster attribute of islands to naturally decompose the problem. The proposed algorithm makes use of nondominated sorting approach to improve the convergence ability effciently. It also combines the crowding distance to guarantee the diversity of Pareto optimal solutions. We compare the BBMO with two representative state-of-the-art evolutionary multi-objective optimization methods, non-dominated sorting genetic algorithm-II (NSGA-II) and archive-based micro genetic algorithm (AMGA) in terms of three metrics. Simulation results indicate that in most cases, the proposed BBMO is able to find much better spread of solutions and converge faster to true Pareto optimal fronts than NSGA-II and AMGA do.     

Au–Pt nanoparticles in amine functionalized MCM-41: Catalytic evaluation in hydrogenation reactions

Nano-sized Au–Pt nanoparticles (Au–Pt-bi-MNPs) have been synthesized by the simultaneous reduction of HAuCl₄ and HPtCl₆ by NaBH₄ inside the channels of amine functionalized Si-MCM-41 (NH₂–Si-MCM-41) at ambient conditions. These materials were characterized using chemical analysis, UV–vis, XPS, XRD, FT-IR, Surface area and TEM analysis. The size of these alloyed nanoparticles (bi-MNPs) were found in the range of 2–4 nm. These nanoparticles were evaluated to study their catalytic activities towards hydrogenation of aromatic nitro compounds. The catalytic activity of the Au–Pt bi-MNPs was found to be superior to monometallic Au nanoparticles.     

土与混凝土接触面反向单剪本构模型

土与混凝土接触面的反向剪切性质是土木工程中一个重要的课题。根据接触面反向单剪试验结果,定量分析了正向剪切历史对不同含水率接触面反向抗剪强度、摩擦角、黏聚力等因素的影响,给出了相关的经验公式。提出了接触面临界正向剪切比的概念。根据改进的应力应变方程,建立了接触面正反向剪切模量公式,其包含了10个土体参数,均可通过接触面试验求得。确定了该公式中各参数的取值方法,推荐了初步的取值范围。进行了不同正向剪切比情况下的接触面剪切应力应变模拟,得到良好的模拟效果。研究成果可供相关的工程设计参考。     

基于改进特征融合的微表情识别方法

微表情的变化是非常微小的,这使得微表情的研究非常困难。微表情是不能伪造和压制的,因此也成为判断人们主观情感的重要依据。本文提出了以卷积神经网络及改进长短时记忆网络特征融合为依托的微表情识别方法,先介绍了相关的背景知识,再介绍了实验的预处理过程、特征提取以及相应的特征融合的过程,将所得的结果用于实验模型的预测分类。实验结果表明,新模型具有更好的识别率。