粘果山羊草Aegilops kotschyi puroindoline a基因的研究

根据已报道的小麦籽粒硬度主效基因之一puroindoline a（Pina）基因的保守序列,设计并合成了一对特异性引物ForA1和RevA1,对粘果山羊草Aegilops kotschyi的三个材料的基因组DNA和互补DNA进行Pina基因克隆、序列测定和表达分析,发现了三个新型Pina突变体,基因序列与六倍体小麦的同源基因存在较大的差异.RT-PCR证实了Pina基因在籽粒胚乳中表达.Southern blot分析结果表明,三种材料中该基因均含有两个拷贝.研究结果显示山羊草是一个丰富的遗传资源库,为小麦籽粒硬度的基因工程改良奠定了基础.     

带时间窗的快递包装回收车辆路径优化研究

为解决大量快递包装给社会环境带来的一系列问题,优化快递包装及回收车辆路径,降低回收成本,提高客户满意度是快递包装回收的关键。考虑到快递包装回收的现状,提出在回收过程中设置软时间窗来反映顾客的满意度。建立了运输成本、处理成本、回收成本、时间惩罚成本等成本最小化的数学模型。采用改进的遗传算法对模型求解,提出运用2点交叉法改进交叉算子,加快种群的寻优速度,同时提出2点互异改进变异算子,增加种群的多样性,并对算法的种群规模、变异概率、运输成本等进行了灵敏度分析。运用Matlab软件对算例进行仿真,在有无时间窗条件下,验证了该设计的快递包装回收路径模型和算法的有效性。     

基于随机概率密度演化的结构-TMD参数优化

基于地震载荷随机性的事实,以及传统的采用特定地震波研究结构控制条件具有严重缺陷的问题,本文提出以结构最大层间位移作为控制指标,基于概率密度演化理论,采用改进遗传算法对TMD参数进行优化的设计方法.该方法结合改进遗传算法以及概率密度演化方法,充分考虑了随机性对结构影响的本质,根据随机载荷下结构-TMD控制体系中结构层间位移响应和动力可靠度的前后对比,说明优化方法的优越性.以三层剪切型混凝土框架结构-TMD参数优化为例,验证所提方法的正确性,为随机激励下的多自由度结构-TMD系统优化设计提供了一条新的解决途径.     

Experimental validation of inter-subspecific genetic diversity in rice represented by the differences between the DNA sequences of ‘Nipponbare’ and ‘93-11’

The pedigrees of three sequenced rice cultivars were analyzed to show that a majority of the genetic composition of 'Nipponbare' originates from japonica cultivars while the minority originates from indica cultivars. In contrast, '93-11' is derived mainly from indica cultivars with a smaller contribution from japonica cultivars. All ancestors of 'Guang lu ai 4' appeared to be indica lines. A set of molecular markers (46 InDels and 53 SSRs) polymorphic between 'Nipponbare' and '93-11' were examined in 46 typical indica and 47 typical japonica cultivars selected from 443 accessions according to Cheng's index. All cultivars were divided into indica and japonica groups without overlapping when clustered by Cheng's index, InDels and SSRs. Much higher InDel and SSR diversity between groups than within groups implies that the marker polymorphisms between 'Nipponbare' and '93-11' represent a large proportion of inter-subspecific diversity. About 85% of indica cultivars and more than 90% of japonica cultivars were confirmed to have the same PCR banding patterns as '93-11' and 'Nipponbare', respectively. Some polymorphic loci between 'Nipponbare' and '93-11' cannot be validated in other indica and japonica cultivars, either as subspecies-specific but not predominant alleles, or alleles not specific between the two groups. It was concluded that molecular markers developed from sequence polymorphism between 'Nipponbare' and '93-11' often represent inter-subspecific diversity, although some exceptions were sensitive to either particular marker loci or particular cultivars.     

Primary Sn-rich titianite in the Qitianling granite, Hunan Province, southern China: An important type of tin-bearing mineral and its implications for tin exploration

The Qitianling calc-alkaline granite in Hunan Province (South China) has attracted much attention since the discovery of the Furong super-large tin deposit. The present study provides new mineralogical data to address their implications for exploration of tin deposits. In the Taoxiwo granite in the southeastern part of the Qitianling granite body, Sn-rich titanite was identified as an important type of Sn-bearing mineral. The titanite commonly occurs with biotite as euhedral crystals, exhibiting typical envelope-like shape and sector-zoning texture. These indicate that the titanite most likely crystallized in the magmatic stage. Electron-microprobe analyses show that the titanite is enriched in tin up to 1.12 wt% SnO₂, with an average of 0.43 wt%. With the crystallization of the granite, primary minerals undertook hydrothermal alteration by magma-derived fluids. Subsequently, in the hydrothermal stage, the primary Sn-bearing titanite was altered (at least partially), but still preserved its typical envelope-shaped outline. Micro-scale cassiterite is a representative product of such alteration; other secondary minerals include fluorite, ilmenite, Sn-bearing rutile and quartz. Therefore, the titanite, commonly present in the calcalkaline granites, can be treated as an important Sn-carrying mineral in the Qitianling granite, reflecting the primary magmatic environment with tin enrichment. The hydrothermal alteration of the primary titanite and subsequent crystallization of cassiterite recorded a process of leaching and accumulation of tin in magmatic-hydrothermal evolution of the Sn-bearing granite. Thus, this titanite has important implications for tin exploration. Supported by National Natural Science Foundation of China (Grant Nos. 40730423 and 40221301) and Project of China Geological Survey (Grant No. 1212010632100)     

城市交通信号三级模糊滑动优化控制方法

提出一种城市交通信号三级模糊滑动优化控制方法.引入非冲突车流的搭接相位构建交通信号三级模糊控制器的模型,并采用滑动时间窗设计滑动优化的框架.根据实时采集的交通数据,采用基于黄金分割的混合遗传算法,在线学习模糊控制器的隶属函数及控制规则参数.在常态及事故不同交通条件下,以典型路口进行Paramics仿真试验.结果表明提出方法的自适应能力好,可快速响应路口交通流的不确定性事件,且在高饱和的交通条件下性能稳定.     

基于并行计算及入侵检测系统的异动股票选择

将入侵检测技术引入到股票的选择中,给出了一种基于并行遗传算法的入侵检测技术。将数据随机分为若干个小组,对每一个小组中的数据进行检测,把每个小组中的最可疑的行为特征汇合后进行比对,最后选择出异动股票。对上海电力股票2008年4月24日至7月22日的数据利用MATLAB进行了模拟,与标准遗传算法比较,改进后的算法降低了误报率,缩短了运算时间。     

基于分层法的通风网络图绘制算法

在对已有的算法研究之后,提出了一种新的通风网络图绘制算法,采用分层法作为绘制算法的主框架,同时将最长路径法和遗传算法嵌入到分层法中,实现通风网络图的优化绘制,减少分支交叉数,并进行了开发实现和测试.     

基于特征选择和SVM参数同步优化的网络入侵检测

为了提高网络入侵检测正确率,利用特征选择和支持向量机(SVM)参数间的相互联系,提出一种特征选择和SVM参数联同步优化的网络入侵检测算法.该算法首先将网络入侵检测正确率作为问题优化的目标函数,网络特征和SVM参数作为约束条件建立数学模型,然后通过遗传算法对数学模型进行求解,找到最优特征子集和SVM参数,最后利用KDD 1999数据集对算法性能进行测试.结果表明,相对于其他入侵检测算法,同步优化算法能够较快选择最优特征与SVM参数,有效提高了网络入侵检测正确率,加快了网络入侵检测速度.     

基于GA-SVM的上市公司财务评价模型研究

财务评价是企业财务管理中的重要环节,本文在对传统财务评价方法的不足进行分析的基础上,结合财务管理理论和企业预警理论,采用GA-SVM方法建立上市公司财务评价模型。首先以沪深两市2007~2009年度A股上市公司为研究对象,以因财务状况异常而被列为特别处理的公司(ST公司)作为界定上市公司的财务危机标志,并以上市公司年报财务数据作为输入特征向量,然后将遗传算法与支持向量机相结合,通过实证方法建立上市公司财务评价模型,实证结果验证了该模型的有效性。