基于量子进化算法的批量生产问题

在现代制造业的供应链中,生产批量计划(Lot-sizing)问题是企业经济效益最大化的关键因素之一,其主要研究在给定批量产品的需求下,确定最佳的生产方案,使得制造成本、库存成本和调整成本的总和最小化或者利润最大化。近年来的群智算法如遗传算法和粒子群算法等为解决复杂的Lot-sizing问题提供了新途径,但是这些算法易陷入局部最优。为了获得全局,将量子算法融入经典进化遗传算法中,首先,运用量子理论中独特的概率幅和量子比特对计划产量的决策变量进行编码;然后在迭代过程中,通过动态调整量子旋转角度来控制基因的变异速度,保持最优个体的基因信息,以免陷入局部最优的陷阱。Lot-sizing问题的案例实证表明,与上述常见的群智粒子群算法相比,量子进化算法的求解精度更高、收敛速度更快,可以有效解决复杂多约束的Lot-sizing问题,提高企业的生产效率。     

Seasonal variation of gut Cyanophyta contents and liver GST expression of mud carp （Cirrhina molitorella） and Nile tilapia （Oreochromis niloticus） in the tropical Xiangang Reservoir （Huizhou, China）

Liver glutathione S-transferase(GST) plays a major role in the detoxification of microcystins(MCs) via conjugation to glutathione(GSH).We evaluated the relationship between seasonal variation in fish gut contents and the expression of GST isoforms in mud carp(Cirrhina molitorella) and Nile tilapia(Oreochromis niloticus).We quantified the abundance and diversity of plankton in the water column and foregut of mud carp and Nile tilapia in the tropical Xiangang Reservoir between October 2007 and July 2008.The mRNA expression of 7 liver GST isoforms was determined by real-time RT-PCR.The gut contents of both species were dependent on the amount and type of phytoplankton and zooplankton in the water.The expression of liver GST genes in Nile tilapia and mud carp was positively and negatively correlated,respectively,with the abundance of toxic cyanobacteria in the fore-gut.The expression of liver GST mRNA was correlated to the abundance of toxic cyanobacteria in the gut contents of both species,suggesting that mRNA expression of GST isoforms could be used as a biomarker in Nile tilapia and mud carp to monitor cyanobacteria blooms in reservoirs.     

基于Logistic回归模型和凝聚函数的多示例学习算法

实时多媒体网络中,带延迟与延迟抖动约束的斯坦利树问题是一个研究热点.这种带约束的斯坦利树被证明是NP-完全问题.提出了一种基于禁忌搜索的带延迟与延迟抖动约束最小代价组播路由算法.实验结果表明,该算法对于实际网络是有效的.这种方法使得IP组播把数据同时发送到组成员时有效地利用了网络资源.

Abstract：

The delay and delay variation-bounded Steiner tree problem is animportant multicast routing issue in real-time multimedia networks.Such a constrained Steiner tree problem is known to be NP-complete.A multicast routing algorithm is presented,which is based on tabu search to produce routing trees having a minimal network cost under delay and delay variation constraints.The approach makes IP multicast utilize resources efficiently in delivering data to a group of members simultaneously.     

Quantitative analysis of lake area variations and the influence factors from 1971 to 2004 in the Nam Co basin of the Tibetan Plateau

By using remote sensing and GIS technologies, spatial analysis and statistic analysis, we calculated the water area and volume variations of the Nam Co Lake from 1971-2004, and discussed their influence factors from the viewpoints of climatic change and water balance. Data source in this study includes bathymetric data of the lake, aerial surveyed topographic maps of 1970, remote sensing images of 1991 and 2004 in the lake catchment, meteorological data from 17 stations within 1971-2004 in the adjacent area...     

导体圆盘涂覆铁氧体层介质参数变异的电磁特性

采用基于频域矩量法(MOM)与解析法的Ansoft Designer软件,计算、分析了导体圆盘基底烧结铁氧体隐身层因裂纹介质参数出现变异的雷达X波段高频电磁特性.采用V极化波和H极化波2种情况入射,分别计算与分析,得出:在8-12 GHz 频带内,因裂纹产生介质参数变异对隐身电磁性能影响较明显.     

考虑非线性二次梯度项的不稳定渗流解析解及其应用

在常规的地下流体渗模型求解过程中,为了简化计算,一般忽略渗流连续方程的二次梯度项。但是,在一些对求解精度要求高的渗流问题中,如果忽略渗流连续方程的二次梯度项,将产生显著的误差。使用了Boltzman变换和常数变易法,导出了无限大地层的解析解。对考虑二次梯度项与忽略该项的解进行差异分析。结果表明:随着时间、产量的增大,渗透率的降低,差异有变大的趋势。而随半径的减小,差异也有变大的趋势。最后,对解析解进行简化,导出了可以用于试井分析的简化公式。     

A Method of Polydirectional Fuzzy Synthetical Cluster of Considering Partiality of Decision Maker

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用斜投影解决画法几何图解问题

斜投影变换是画法几何投影变换中的一种,斜投影变换不受投影面和投影方向的种种限制。投影面可为基本投影面也可为新设的垂直面或一般位置平面。投影方向可以任意倾斜。     

分子标记技术在白木香遗传变异研究中的应用

采用简单重复序列区间扩增(ISSR)技术和核糖体RNA基因(rDNA)转录间隔区(ITS)序列分析技术, 对不同地区白木香的遗传变异、亲缘关系及分子鉴定进行研究. 共筛选出7条ISSR引物, 扩增得到80条带, 其中多态性条带的比率是58.8％. 白木香9个居群之间的遗传距离是0.0733～0.4213, 居群间遗传差异不大; 筛选出的引物IS-8可以进行白木香种内和种间的鉴别. ITS序列在白木香种内的变异很小, 只有6个变异位点, 种内遗传距离为0.0％～1.1％. 根据白木香ITS的序列特征可准确鉴别白木香与近缘种. 两种分子标记方法得到的UPGMA聚类图不一致, 但大致趋势相同, 说明ISSR标记与ITS序列分析均可用于白木香遗传变异及亲缘关系的研究, 但ITS序列分析技术在种内遗传变异研究的分辨力不及ISSR高.