基于自适应均匀变异人工鱼群投资组合优化算法的研究

投资市场具有一定的风险,影响因素包括经济、政治、市场自身规律等,根据市场机制构建合适的投资组合模型,可以有效降低市场风险,提高投资回报率.人工鱼群算法是模仿自然界鱼类的一种人工智能优化算法,具有较好的优化能力,但有时会陷入局部最优解.首先将人工鱼群算法与均匀变异相结合,加入均匀变异随机数,使算法能够跳出局部最优解,得到全局最优,从而提高算法精度.然后采用改进人工鱼群算法对投资组合模型进行优化求解.实验表明,改进人工鱼群算法具有较好的收敛精度和收敛速度,对投资组合模型的求解效果更好,风险下降,收益增加、     

采用信息散布指数的改进决策树算法

为了解决传统决策树算法偏向于多值特征的不足,提出了一种基于信息散布指数的改进决策树算法.引入信息散布指数作为评价准则惩罚因子,该指数能够反映出特征的多值程度,从而降低了评价准则对多值特征的依赖性.同时,结合信息增益,面向二元、分类和序数等离散类型数据实现了决策树的构造.通过实验结果表明:提出改进算法能够减少对多值特征的偏倚,与其他几种算法相比具有更低的分类错误率和更优的分类性能.     

模糊投资组合选择问题的改进帝企鹅优化算法

模糊投资组合选择问题是在基本投资组合模型中引入模糊集理论,使所建立的模型与实际市场更加吻合,但同时也增加了模型求解难度.因此,本文针对两种不同的模糊投资组合模型,提出一种改进帝企鹅优化算法.算法首先引入可行性准则,处理模糊投资组合模型中的约束.其次,算法中加入变异机制,平衡算法的开发和探索能力,引导种群向最优个体收敛.通过对CEC 2006中的13个标准测试问题及两个模糊投资组合问题实例进行数值实验,并与其他群智能优化算法进行结果比较,发现本文所提出的算法具有较好的优化性能,并且对于求解模糊投资组合选择问题是有效的.     

基于熵和CVaR的多目标投资组合模型及实证研究

股票组合的选取以及对风险的度量在投资过程中极为重要.基于熵模型和CVaR风险度量方法,文章提出了一种新的多目标投资组合优化模型,并利用模糊集理论和粒子群算法对模型进行求解.同时,通过深圳综合指数、中小板综合指数和上证180指数的实际股票数据进行实证分析,结果表明与其他经典投资组合模型相比,文章所提出的模型在Sharpe...     

基于高斯核支持向量机和遗传算法的优化组合研究

选用2008~2015共8年数据,首先基于高斯核的支持向量机在沪市A股上构建周期性的投资组合,并通过误差图和评价指标与BP神经网络、广义回归神经网络进行比较,结果表明了支持向量机在股票预测上更具有优势.再将改进遗传算法运用于上证股票市场构建最优投资组合,以上证指数作为基准进行比较,得出混合遗传算法优化组合的模型相比单一模型更为有效.     

基于凸组合共轭梯度法的ARIMA模型参数估计

提出了一种凸组合共轭梯度算法,并将其算法应用到ARIMA模型参数估计中.新算法由改进的谱共轭梯度算法与共轭梯度算法作凸组合构造而成,具有下述特性:1)具备共轭性条件;2)自动满足充分下降性.证明了在标准Wolfe线搜索下新算法具备完全收敛性,最后数值实验表明通过调节凸组合参数,新算法更加快速有效,通过具体实例证实了模型...     

离散变量结构优化设计的组合算法*

本文首先给出了离散变量优化设计局部最优解的定义,然后提出了一种综合的组合算法.该算法采用分级优化的方法,第一级优化首先采用计算效率很高且经过随机抽样性能实验表明性能较高的启发式算法─—相对差商法,求解离散变量结构优化设计问题近似最优解 X ;第二级采用组合算法,在 X 的离散邻集内建立离散变量结构优化设计问题的(-1,0.1)规划模型,再进一步将其化为(0,1)规划模型,应用定界组合算法或相对差商法求解该(0,1)规划模型,求得局部最优解.解决了采用启发式算法无法判断近似最优解是否为局部最优解这一长期未得到解决的问题,提高了计算精度,同时,由于相对差商法的高效率与高精度,以上综合的组合算法的计算效率也还是较高的.     

基于信用风险修正的多阶段银行资产组合优化模型

从资产组合管理角度出发,用信用风险修正的方法对企业信用等级阈值进行修正,同时考虑商业银行持续经营的特点,将修正后的信用风险引入到多阶段的模型当中去,建立一个基于信用风险修正的多阶段银行资产组合优化模型.针对该模型的特点,给出了把Monte Carlo模拟的动态算法和改进粒子群的多阶段算法相结合求解方法.数值试验表明所建...     

基于降维思想的客观组合评价模型

为了解决多方法评价结论的非一致性问题,产生了组合评价方法.最大限度地利用多评价结论的信息是组合评价的关键.为此提出了一个基于降维思想的客观组合评价模型,它能够最大程度地保留多评价结论所包含的评价信息,充分地整合多评价结论中的共性信息.鉴于该模型求解属复杂非线性优化问题,常规方法难以直接处理,建立了微粒群改进算法,进行全局寻优.最后,通过实例说明了模型的可操作性和实用性.     

动态种群规模协同进化算法求解多目标投资组合优化问题

为了解决仅含预算约束的投资组合优化模型,提出一种基于种群密度的多目标协同进化算法.算法采用种群竞争的策略自适应的产生不定规模的种群,避免了固定种群规模的缺点.在进化过程中每个种群都会参考自身的最优个体以及竞争种群对自身的影响,超级个体集合存储进化过程中产生的最优解,通过最优个体的引导使算法快速收敛至Pareto前沿.实验结果表明,与NSGA-2算法相比,提出的算法在稳定性和收敛性都有很好的表现,是一种有效的多目标进化算法.     

A REPRESENTATION FORMULA RELATED TO SCHR(O)DINGER OPERATORS

Schr(o)dinger operator is a central subject in the mathematical study of quantum mechanics.Consider the Schrodinger operator H = -△ V on R, where △ = d2/dx2 and the potential function V is real valued. In Fourier analysis, it is well-known that a square integrable function admits an expansion with exponentials as eigenfunctions of -△. A natural conjecture is that an L2 function admits a similar expansion in terms of "eigenfunctions" of H, a perturbation of the Laplacian (see [7], Ch. Ⅺ and the notes), under certain condition on V.     

On a class of self-similar processes with stationary increments in higher order Wiener chaoses

We study a class of self-similar processes with stationary increments belonging to higher order Wiener chaoses which are similar to Hermite processes. We obtain an almost sure wavelet-like expansion of these processes. This allows us to compute the pointwise and local Hölder regularity of sample paths and to analyse their behaviour at infinity. We also provide some results on the Hausdorff dimension of the range and graphs of multidimensional anisotropic self-similar processes with stationary increments defined by multiple Wiener–Itô integrals.     

On a class of Riemann surfaces

It is considered the class of Riemann surfaces with dimT1 = 0, where T1 is a subclass of exact harmonic forms which is one of the factors in the orthogonal decomposition of the spaceΩH of harmonic forms of the surface, namely The surfaces in the class OHD and the class of planar surfaces satisfy dimT1 = 0. A.Pfluger posed the question whether there might exist other surfaces outside those two classes. Here it is shown that in the case of finite genus g, we should look for a surface S with dimT1 = 0 among the surfaces of the form Sg\K , where Sg is a closed surface of genus g and K a compact set of positive harmonic measure with perfect components and very irregular boundary.     

CONTENTS OF VOLUME 30

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Instructions for contributions

正Applied Mathematics-A Journal of Chinese Universities,Series B(Appl.Math.J.Chinese Univ.,Ser.B)is a comprehensive applied mathematics journal jointly sponsored by Zhejiang University,China Society for Industrial and Applied Mathematics,and Springer-Verlag.It is a quarterly journal with     

Journal of Mathematical Research with Applications Guide for Authors

正Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.     

Staircase transportation problems with superadditive rewards and cumulative capacities

A cumulative-capacitated transportation problem is studied. The supply nodes and demand nodes are each chains. Shipments from a supply node to a demand node are possible only if the pair lies in a sublattice, or equivalently, in a staircase disjoint union of rectangles, of the product of the two chains. There are (lattice) superadditive upper bounds on the cumulative flows in all leading subrectangles of each rectangle. It is shown that there is a greatest cumulative flow formed by the natural generalization of the South-West Corner Rule that respects cumulative-flow capacities; it has maximum reward when the rewards are (lattice) superadditive; it is integer if the supplies, demands and capacities are integer; and it can be calculated myopically in linear time. The result is specialized to earlier work of Hoeffding (1940), Fréchet (1951), Lorentz (1953), Hoffman (1963) and Barnes and Hoffman (1985). Applications are given to extreme constrained bivariate distributions, optimal distribution with limited one-way product substitution and, generalizing results of Derman and Klein (1958), optimal sales with age-dependent rewards and capacities.To our friend, Philip Wolfe, with admiration and affection, on the occasion of his 65th birthday.Research was supported respectively by the IBM T.J. Watson and IBM Almaden Research Centers and is a minor revision of the IBM Research Report [6].