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genetic material相关的网络例句

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A fine-grained genetic algorithm based algorithm which is for the parameters optimization problem of agent model is proposed. The fine-grained genetic algorithm is used to solve the parameters optimization problem of agent model. As to the parameters optimization problem of the agents colony model, the first step is to define the concept of "the parameters mode of the combat agents colony" to describe the parameters of the combat agent colony model. Then the genetic algorithm is used to solve the optimization problem with the parameters mode of the combat agent colony model as the genetic individual. Besides the algorithm, the algorithm dispatch tactic is also considered. And the two level sequence dispatch tactic and the two level nesting dispatch tactic are put forward for those complex parameters optimization problem. At last, the model parameters optimization under antagonism codition is studied. The means to solve this problem is to translate it into a kind of antagonism problem, then use the competitive co-evolutionary genetic algorithms to solve it.

其中:提出了一种基于细粒度模型的作战智能体模型参数优化求解算法,用细粒度模型遗传算法求解作战智能体模型参数优化问题;提出了"作战智能体群体参数模式"的概念,对作战智能体群体模型参数进行形式化描述,再以作战智能体群体参数模式为遗传个体,应用遗传算法求解作战智能体群体模型参数的优化问题;研究了上述优化问题求解算法的调度策略,提出了分层模型参数优化算法的双层顺序调度策略和双层嵌套调度策略,解决复杂的模型参数优化问题;将对抗条件下作战模型参数的优化问题转化为一种对抗性问题,应用竞争性共同进化遗传算法,进行求解。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上,利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系,并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法);(2)以数学规划为基础,结合数量经济学和技术经济学,引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型,进而获得全气田及各采气厂的最优方案,并引入资金时间价值对五年规划模型进行改进;(3)以非线性规划问题的最优解及算法理论为基础,引入SUMT算法以及遗传算法对模型的求解进行研究,并在原有的遗传算法基础上,引入自适应调整方法对遗传算法进行改进;以算法的收敛性理论和计算复杂性理论为基础,逐一分析SUMT算法以及遗传算法的收敛性,并比较三种算法的优劣性。

The 54 accessions were classified into five major groups:Ⅰ,Ⅱ,Ⅲ,Ⅳ and Ⅴ by cluster analysis using UPGMA, which showed significant relationship with the origin regions of accessions. Genetic differentiation between and within eight eco-geographical groups of C.dactylon was estimated by Shannon's diversity index, which showed that 63.81% genetic variance existed within group, and 36.19 % genetic variance was among groups, indicating rather large genetic distances among those germplasm, and there was a correlation between genetic differentiation and eco-geographical habits among the groups.

聚类分析结果表明,52份材料可聚为5类;基于Shannon多样性指数估算了8个狗牙根生态地理类群内和类群间的遗传分化,类群内的遗传变异占总变异的63.81%,类群间的遗传变异占总变异的36.19%,表明这些抗源材料遗传差异较大,各生态地理类群间的遗传分化与其所处的生态地理环境具有一定的相关性。

Moreover, the actual allele frequency of most varieties deviates far from Hardy-Weinberg equilibrium. All PPB、na 、I、h、Gi and Fst have proved to be the references to elucidate that ISSR is a most powerful tool to analyze genetic diversity, compared with the RAPD marker and the allozyme marker is less strong ordinally. We could divided the 70 samples into A, B, C, D and E five groups using three methods according to genetic distance clustering. There is a bit displacement for few varieties in different clustering maps, but the most are similar to morphological analysis despite that there is still a great difference among cultivars in the same one group. The above results imply that the three methods have the different sensitivity and resolution in genetic distance analysis of close varieties. The Mantel test indicates that the results from the three kinds of markers have the significant correlation, which demonstrates that the number of the used three kinds of markers is enough to exactly detect the diversity of all 70 samples to ideal extent. And these methods can be used to evaluate the diversity of the whole group using the miscellaneous samples instead of the individual sample, of the Gerbera jamesonii are mainly from tissue culture plants. In conclusion, the above study results provide a reference for the application of three kinds of molecular markers to molecular marker-assisted breeding of flower. 2. The genetic diversity among the eight introduced cut-flower varieties of Ranunculus asiatica was analyzed by the ISSR markers. Based on the genetic clustering tree, all the colorful flower varieties are clustered into one group, and the white flower varieties into another group. Moreover, among the former group the yellow flower varieties are clustered into one sub-group, and the reddish flower varieties, such as rose color, pink, nacarat, are clusetered into another sub-group.

由三种分子标记的分析结果可以看出,等位基因平均值、观察杂合度、Fis值、Fit值皆较高,表明非洲菊等位基因较丰富,杂合基因偏多,且绝大部份品种的实际等位基因频率在品种内偏离了Hardy-Weinberg equilibrium;PP8、na、Ⅰ、h、Gi及Fst皆表明,ISSR检测遗传多样性的能力最强,其次是RAPD,等位酶最低;根据遗传距离进行聚类,三种方法都把70个品种分成A、B、C、D、E五个大组,每一组中除少数品种发生位移外,大部份品种分类结果相似,且与形态分析结果有相似性,但在每一组中,品种间的聚类差别较大,表明这三种方法在近距离品种间检测遗传变异时灵敏度及分辨力不同;Mantel检测表明,三种标记的分析结果有显著相关性,表明所用的三种分子方法的标记数量已经可以相对无偏地检测到70个品种间遗传变异;非洲菊为组培苗,三种标记的检测结果皆表明,混合样品可以作为个体样品的代表,对整个居群的遗传多样性进行评价;这些研究结果可为三种分子标记方法在花卉分子辅助育种中的进一步应用提供借鉴。

In this study, genetic analyses were conducted to determine the genetic basis in an elite resistant inbred line Siyi with complete resistance to maize dwarf mosaic. A new genetic model, two dominant complementary genes conditioning the resistance, were found by Mendelian genetic analysis based on parents, F1, F2 and backcrosses in three successive years' field trails. The two genes were further mapped near the centromere of chromosome 3 and 6, respectively by tightly linked microsatellite markers using 242 plants from F2 generation. The resistance gene on chromosome 3 is 1.0 cM apart from the flanking markers phi053 and umc1527, respectively. Whereas the linkage distance between two flanking markers bnlg1600 and phi075 and resistance gene on chromosome 6 was 1.0 and 4.0 cM, respectively. Genotypic analysis of the plants from testcross and F3 populations supported the new genetic manners.

课题组通过连续三年的抗病鉴定,在国内种质资源中筛选出一份综合农艺性状优良、配合力较高的自交系四一,三年的表型遗传研究和两年的分子标记工作,发现四一中的玉米矮花叶病抗性是由两对显性互补基因控制的,进而利用F2作图群体,把发现的两个基因定位在第三和第六染色体的着丝点附近,并获得了双侧紧密连锁的分子标记连锁图谱,其中第三染色体上的分子标记UMC1527和phi053从抗病基因双侧逼近1 cM,而第六染色体上的分子标记phi075、bnlg1600从抗病基因双侧分别逼近4 cM和1 cM;利用B2群体、F2:3家系、BC3F1群体和带有第三、第六染色体抗病基因以及两个抗病基因的近等基因系,进一步证实了四一中成株期抗性是由两个显性互补基因控制的。

Finally, the writer combined the paper with the request of our country"s current education development to the new period teaching material reforms, concern with the future of our country"s teaching material reforms of chemistry, put forward several suggestions about our country"s teaching material reforms of chemistry: The spirit of teaching material should return to human; teaching material target should more characterful, socializing and more popular; the developing in the flexibility of the teaching material contents ; teaching and learning method"s type in the book should be investigable, cooperant and interactional; teaching material"s diversification"s and modernizations trend etc.

最后,笔者结合目前我国教育发展对新时期教材改革的要求,关注于我国基础教育中的化学教材改革的未来,提出了对我国高中化学教材改革方向的几点展望:教材编制指导思想的&人本化&发展;教材教学目标中的素质化、社会化、大众化的转变;教材内容的弹性化发展;教材的教法、学法的探究式、合作式、互动式转变;教材载体的多元化、现代化趋势等等。

That indicated the availability of SRAP technique in studying genetic variability in Arachis. Estimates of genetic distance among the 28 accessions Arachis section ranged from 0.12 to 0.75 with average genetic distance of 0.42. A genetic distance clarified that A-genome A. duranensis was most closely associated with tetraploid germplasm, which could be A-genome donors. Dendrogram of cluster analysis classified 28 accessions Arachis section into two groups: one including tetraploid germplasm, and A.

聚类分析表明,28份花生材料间的遗传距离变幅为0.12~0.75,平均为0.42,A基因组物种Arachis duranensis与栽培种花生的亲缘关系最近,可能是栽培种花生的A基因组的供体。28份种质分为两大类,第一大类包含四倍体种质及A基因组的A。

Optimal algorithm of combined nonlinear Hopfield network appears powerful validity in solving nonlinear planning, which includes nonlinear objective function, linear constrains and high-demension of decision-making variants, for its ability of nonlinear parallel computation. It is prominent among optimal algorithms because of its function of simply implement with electrocircuit hardware. Genetic algorithm is expressly suitable for optimal calculation regarding the planning of massive, highly nonlinear, inconsecutively differentiable and multiobjective function as well as objective function without analytical expression. However, it inclines to prematurity, as well as its limitation in ability of partial optimal search. Introducing the optimal algorithm of niche genetic simulated annealing to standard Genetic algorithm, can therefore improve the full-scale or partial search ability of Genetic algorithm effectively. It has a far-flung perspective in the field of systemic planning of water pollution control.

组合式非线性Hopfield网络优化算法所具有的非线性大规模并行计算能力在求解具有非线性目标函数、线性约束条件及高维决策变量的非线性规划问题方面显示出了强大的生命力,它易于电路硬件实现的功能更是在优化算法中独树一帜;遗传算法采用概率搜索技术,不受目标函数与约束条件的限制,特别适合大规模、高度非线性的不连续可微的多峰目标函数及无解析表达式的目标函数的规划问题的优化计算,但其存在容易早熟、局部寻优能力较差等缺点,本文在标准遗传算法中引入小生境技术及模拟退火算法有效地改善遗传算法的全局和局部搜索性能,提高了全局最优解的寻优质量,小生境遗传退火模拟优化算法在水污染控制系统规划中的应用前景极为广阔。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithm Aimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上,本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合,对结构优化设计的基本概念、主要特点进行了介绍,对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithmAimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上,本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合,对结构优化设计的基本概念、主要特点进行了介绍,对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

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