一类伴性遗传疾病的线性模型及解法

以色盲为例 ,利用数学模型探讨了一类伴性隐性遗传疾病的发病规律     

The implications of adoption for donor offspring following donor-assisted conception

In this paper the authors, all experienced social workers with research and practice interests in assisted conception, review practices concerning access to genetic origins information in adoption, and consider to what extent these may be relevant for practice in donor‐assisted conception. The paper concludes with policy and practice recommendations that take account of the views of donor offspring and their desire for increased information about their genetic heritage.     

一种求解JOB SHOP问题的新型混合遗传算法

针对一般车间（JOB SHOP）的作业排序问题设计了一种新的混合遗传算法,该算法将遗传算法和启发式方法相结合,利用遗传算法优化每台机器的首工序,并确定每台机器的优先工序,借助仿真,按照启发式方法安排每台机器的后续工序。通过算例比较,表明该算法具有良好的求解性能。     

遗传算法优化的神经网络熔深预测模型

依据熔化极气体保护焊(GMAW)焊接时对焊缝熔深的影响因素,结合遗传算法,建立以焊接电流、焊接电压、焊接速度和焊缝熔宽为输入、以熔深为输出的BP神经网络焊缝熔深预测模型。仿真试验和结果分析表明：使用遗传算法能得到神经网络较好的初始权值和阈值,能显著提高网络性能;所建模型符合已有的焊接熔深理论研究,并且预测误差较小,具有较好的泛比能力和较高的预测准确性,对工程实际具有一定的指导意义。     

优化汽车故障诊断神经网络的改进遗传算法

为了优化汽车故障诊断神经网络的权值和网络结构,改进并设计了遗传算法.在保证种群多样性的条件下,将种群规模降低到最小;引入BP算子,与交叉和变异算子共同竞争,自适应调整运算概率;引入个体间的广义海明距离用于保持种群的多样性,引入连接权的敏感度用于优化网络结构.算法对比测试表明,改进后的遗传算法能够在优化权值的同时优化网络结构,减少了内存占用量,保证了种群的多样性,提高了算法的运行速度和收敛效果.     

Genetic variants in ATP6 and ND3 mitochondrial genes are not associated with aggressive prostate cancer in Mexican–Mestizo men with overweight or obesity

Mitochondrial defects have been related to obesity and prostate cancer. We investigated if Mexican–Mestizo men presenting this type of cancer, exhibited somatic mutations of ATP6 and/or ND3.Body mass index (BMI) was determined; the degree of prostate cancer aggressiveness was demarcated by the Gleason score. DNA from tumor tissue and from blood leukocytes was amplified by the polymerase chain reaction and ATP6 and ND3 were sequenced. We included 77 men: 20 had normal BMI, 38 were overweight and 19 had obesity; ages ranged from 52 to 83. After sequencing ATP6 and ND3, from DNA obtained from leukocytes and tumor tissue, we did not find any somatic mutations. All changes observed, in both genes, were polymorphisms. In ATP6 we identified, in six patients, two non-synonymous nucleotide changes and in ND3 we observed that twelve patients presented non-synonymous polymorphisms. To our knowledge, this constitutes the first report where the complete sequences of the ATP6 and ND3 have been analyzed in Mexican–Mestizo men with prostate cancer and diverse BMI. Our results differ with those reported in Caucasian populations, possibly due to ethnic differences.     

Differentiating Contemporary Racial Prejudice from Old-Fashioned Racial Prejudice

The present study addresses the distinction between contemporary and old-fashioned prejudice using survey data from a national sample (n = 600) of self-identified whites living in the United States and interviewed by telephone in 2001. First, we examine associations among indicators of contemporary and old-fashioned prejudice. Consistent with the literature, contemporary and old-fashioned prejudice indicators represent two distinct but correlated common factors. Second, we examine whether belief in genetic race differences uniformly predicts both types of prejudice. As might be expected, belief in genetic race differences predicts old-fashioned prejudice but contrary to recent theorizing, it also predicts contemporary prejudice.     

引入模拟退火机制的新型遗传算法

提出了一种将遗传算法与模拟退火算法相结合的新搜索算法。该算法以遗传算法运算流程作为主体流程,并把模拟退火机制融入其中,用以调整优化群体。在进化过程中使用了保留策略,以保存适应度较好的个体。在模拟退火算法的跳变操作过程中使用类似遗传算法变异来实现,先作置反操作,再作前后等长交换操作,以防止陷入局部最优。实验表明,该算法与传统遗传算法相比,提高了进化速度和全局寻优能力。     

基于改进的遗传算法的快速图像相关匹配

为了解决图像匹配中计算速度慢和匹配精度不高的缺陷,提出了一种基于改进的遗传算法的匹配方法,算法的主要改进手段是,用自识别交叉算子进行交叉操作,避免种群过早成熟。实验结果表明,与基本遗传算法相比,基于该算法的图像匹配具有运算量小、匹配精确等优点,且算法稳定。     

并联机构智能优化设计方法研究

本文分析介绍了近年来兴起的智能优化算法——遗传算法用于并联机构优化设计的基本思想和应用方法，以雅可比矩阵的条件数为优化设计目标，建立了Stewart并联机构结构参数优化设计的数学模型，分别采用两种编码方式优化设计了平台的结构参数，并用MATLAB软件编程，得到了较为合理的结果。