代数学发展中的运算

本文考虑运算在代数学发展的各个阶段的情况,从算术运算到初等代数运算,再到高等代数运算,再到一般的代数运算,对代数学的运算作了比较详细的介绍分析．     

基于遗传算法的组卷系统的研究

本文对网络题卷库的优势和基本特点进行了介绍,对网络考试所涉及的题库设计、组卷算法等技术进行了讨论和研究,同时在研究的基础上开发了一个基于遗传算法的网络组卷系统,并阐述了此系统的数据库结构及其应用发展方向。     

基于网络通讯与分布运算技术的交通仿真研究

在研究以微观交通仿真模型为平台的基础上,采用了分布式技术结构对城市交通进行仿真,应用分布式技术到交通仿真技术中,提高大规模网络交通模拟模型的运行效率。     

求解Flow Shop问题的改进遗传算法

在对FSP问题进行描述的基础上,提出了一种新的改进遗传算法。该算法针对遗传算法的弱点进行了一系列的改进:设计一个新的选择策略和一个新的多交叉算子策略来避免早熟并引入了兄弟竞争的策略来加快收敛速度和全局搜索能力。仿真计算表明了该算法的良好收敛性和有效性。     

无线局域网的定位技术研究

针对目前无线局域网定位技术的发展现状,本文详细介绍了主要的无线定位技术,并提出了一种基于信号强度和传播时间差的混合定位方法RSSI-TDOA,最后对TDOA定位算法进行了阐述。     

求解TSP问题的一种改进遗传算法

TSP问题是典型的NP完全问题,遗传算法是基于生物进化论的一种全局优化搜索算法。文中针对TSP问题传统遗传算法的缺点,提出了一种改进的遗传算法,并且给出选择、交叉和变异操作的设计。最后,以该算法求解中国旅行商问题(C-TSP)为例,表明该改进遗传算法具有更好的收敛性,可以得到更好的最优解。     

“In Praise of Wool”: The development of partition chromatography and its under-appreciated impact on molecular biology

The invention of partition chromatography by the biochemists Archer Martin and Richard Synge in 1941 offered crucial insights into the structure and function of DNA, insights at least as important as those from X-ray crystallography. Even so, the role that partition chromatography played in molecular biological studies is far less well known. Using new archival material, this article describes the origins of Martin and Synge’s work, arguing that their achievement was far more than a new technical innovation; it went on to have a profound impact on the development of molecular biology to an extent that scholars have insufficiently appreciated.     

湖南瓦乡人红细胞血型研究

调查了湖南怀化市沅陵县230名父母均系瓦乡人而彼此无血缘关系学生的ABO、Rhesus、P、MNSs四种红细胞血型系统的血型.结果表明,ABO系统中的基因频率r(0.6325)>p(0.2221)>q(0.1464);MNSs系统中的基因频率m(0.5196)>n(0.4804)、s(0.9848)>S(0.0152)、Ms(0.4902)>Ns(0.4576)>MS(0.0272)>NS(0.0228);Rhesus系统中CCDee表型最常见(57.83%),CDe单倍型频率较高(0.7588),而cDe频率(0.0207)较低;P系统中P1基因频率为0.1391.湖南瓦乡人的红细胞血型分布具有我国南方民族的特点.与云贵高原周边其他8个民族之间的遗传距离比较表明,湖南瓦乡人与湖南土家族的遗传距离最近而和贵州的仡佬族最远.     

Optimal operation of multi-storage tank multi-source system based on storage policy

A two-stage method is developed to solve a new class of multi-storage tank multi-source （MTMS） systems. In the first stage, the optimal storage policy of each tank is determined according to the electricity tariff, and the ground-level storage tank is modeled as a node. In the second stage, the genetic algorithm, combined with a repairing scheme, is applied to solve the pump scheduling problem. The objective of the pump scheduling problem is to ensure that the required volume is adequately provided by the pumps while minimizing the operation cost （energy cost and treatment cost）. The decision variables are the settings of the pumps and speed ratio of variable-speed pumps at time steps of the total operational time horizon. A mixed coding methodology is developed according to the characteristics of the decision variables. Daily operation cost savings of approximately 11% are obtained by application of the proposed method to a pressure zone of S. Y. water distribution system （WDS）, China.     

Assessment of genetic diversity by simple sequence repeat markers among forty elite varieties in the germplasm for malting barley breeding

The genetic diversity and relationship among 40 elite barley varieties were analyzed based on simple sequence repeat (SSR) genotyping data. The amplified fragments from SSR primers were highly polymorphic in the barley accessions investigated. A total of 85 alleles were detected at 35 SSR loci, and allelic variations existed at 29 SSR loci. The allele number per locus ranged from 1 to 5 with an average of 2.4 alleles per locus detected from the 40 barley accessions. A cluster analysis based on the genetic similarity coefficients was conducted and the 40 varieties were classified into two groups. Seven malting barley varieties from China fell into the same subgroup. It was found that the genetic diversity within the Chinese malting barley varieties was narrower than that in other barley germplasm sources, suggesting the importance and feasibility of introducing elite genotypes from different origins for malting barley breeding in China.