基于遗传算法的双圆弧齿轮传动的优化设计

遗传算法是基于生物进化论的思想，生物自然选择与遗传机理的随机搜索的全局优化算法。该算法适合处理非线性优化问题。本文将遗传算法引入双圆弧齿轮传动优化设计中。经实例计算，验证了遗传算法在双圆弧齿轮传动优化设计中的可行性和有效性。     

提高自学考试答题卡识别准确率的探讨及实践

自学考试的客观题机器阅卷因容易受到内外各方面因素的影响而会产生一定概率的误判。为了更好地维护自学考试作为国家考试的公平和公正性,需要分析可能存在的误判原因。本文描述了如何使用数字图像识别技术来提高答题卡的识别准确率,最大程度地降低识别误判率,以提高客观题的阅卷质量。     

Making Sense of Research: The Dynamics of Management Research in France 1

Privacy is universal value. But according to The Economist in 1999 it is finished - killed off by the remarkable capacity of information technology to analyse, trace and re-assemble personal data: affording an unprecedented insight into individual attitudes and activities. Based on the progress made in implementing the OECD Guidelines on Privacy (1980), the author, who chaired the OECD group that devised those Guidelines, reviews their impact, the need to update them and contemporary proposals for new privacy protections suitable to the current technologies. He concludes that the capacity to uphold human values in the context of new technologies, such as informatics and genomics, presents one of the largest ethical questions for the 21st century.     

GA优化的PID控制器在倒立摆系统中的应用

经典PID控制应用广泛,但由于其参数的工程整定方法一般为试探法,这样对于设计人员的调试经验要求较高。随着工程技术的发展,被控对象也越来越复杂,经典PID参数整定也变得复杂,本文提出了一种基于遗传算法优化的PID控制器,PID的参数不仅可以自动整定而且支持在线整定。     

运动基因组学的研究进展

目的:回顾目前在理解运动员能力遗传决定论方面的进展,并描述一些新的、重要的、可能成为精英运动员的差异标记的基础的DNA多态性。方法:通过文献综述和归纳分析法对过去几十年运动基因组学的研究进展作了简单的回顾。结果:运用全基因组关联研究(GWAS),在过去几年确定了41种标志物,这表明GWASs是一种有前景、富有成效的研究运动相关表型的方法。结论:未来的研究,包括多中心GWAS和大群运动员的全基因组测序的验证和复制研究,将有助于发现大量能部分解释运动能力和相关表型的遗传力的遗传变异(突变和DNA多态性)。     

基于蚂蚁算法的协同产品设计链合作伙伴选择研究

优化的设计链可以缩短产品上市的时间，从而获得竞争优势。合作伙伴选择是设计链构建的重要环节，设计链伙伴选择的求解是一个组合优化问题，将蚂蚁算法与遗传算法相结合用于合作伙伴的优化选择，利用遗传算法快速的全局搜索能力生成信息素分布，蚂蚁算法求精确解，优势互补，得到了满意的效果。     

Evolving local and global weighting schemes in information retrieval

This paper describes a method, using Genetic Programming, to automatically determine term weighting schemes for the vector space model. Based on a set of queries and their human determined relevant documents, weighting schemes are evolved which achieve a high average precision. In Information Retrieval (IR) systems, useful information for term weighting schemes is available from the query, individual documents and the collection as a whole. We evolve term weighting schemes in both local (within-document) and global (collection-wide) domains which interact with each other correctly to achieve a high average precision. These weighting schemes are tested on well-known test collections and are compared to the traditional tf-idf weighting scheme and to the BM25 weighting scheme using standard IR performance metrics. Furthermore, we show that the global weighting schemes evolved on small collections also increase average precision on larger TREC data. These global weighting schemes are shown to adhere to Luhn’s resolving power as both high and low frequency terms are assigned low weights. However, the local weightings evolved on small collections do not perform as well on large collections. We conclude that in order to evolve improved local (within-document) weighting schemes it is necessary to evolve these on large collections.     

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.     

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.     

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.