APPLYING A GENETIC ALGORITHM TO INTERNATIONAL DIVERSIFICATION OF EQUITY PORTFOLIOS: A SOUTH AFRICAN INVESTOR PERSPECTIVE

This paper uses the genetic algorithm (GA) approach to generate a portfolio optimisation scenario of a South African investor who seeks to maximise return from investing in S&P500, FTSE100, NASDAQ, DOWJONES, CAC40 and the DAX from January 1, 2005, to January 31, 2008, but facing exchange rate risk. The GA searches for the optimal solution in the entire set of financial constraints without looking for partial derivatives of the utility function. Whereas most financial problems require a non‐linear and time‐varying model, the GA, with its survival principle of offspring chromosomes, is better suited to this type of problem than local optimisation methods. The performance of the GA is compared with two non‐linear models, namely the quadratic mean‐variance (QMV), which maximises the portfolio mean‐variance, and the quadratic variance minimisation (QVM), which minimises the portfolio variance. The results show that neither the QMV nor the QVM takes into account the domestic investors' risk attitude towards investing in foreign equities and therefore does not provide any international diversification benefits. In addition, the bootstrapping scenario of 10,000 simulations reveals that neither the QMV nor the QVM outperforms the GA in terms of Sharpe ratio and flexibility in dealing with investors' risk attitude towards investing in foreign equities denominated in foreign currencies.     

How effective are heuristic solutions for electricity planning in developing countries

Heuristic algorithms have been widely used to provide computationally feasible means of exploring the cost effective balance between grid versus off grid sources for universal electrification in developing countries. By definition in such algorithms however, global optimality is not guaranteed. We present a computationally intensive but globally optimal mixed integer non-linear programming (MINLP) model for electricity planning and use it in a Monte Carlo simulation procedure to test the relative performance of a widely used heuristic algorithm due to [28]. We show that the overall difference in cost is typically small suggesting that the heuristic algorithm is generally cost effective in many situations. However we find that the relative performance of the heuristic algorithm deteriorates with increasing degree of spatial dispersion of unelectrified settlements, as well as increasing spatial remoteness of the settlements from the grid network, suggesting that the effectiveness of the heuristic algorithm is context specific. Further, we find that allocation of off grid sources in the heuristic algorithm solution is often significantly greater than in the MINLP model suggesting that heuristic methods can overstate the role of off-grid solutions in certain situations.     

Mark-Choose-Cut Algorithms For Fair And Strongly Fair Division

This paper proposes a new criterion to evaluate algorithms for cake division, by the number of resulting pieces. Then, inspired by the idea of "cut-and-choose", we present "mark-choose-cut" algorithms for fair and strongly fair cake division problems. They are game-theoretic algorithms. The number of resulting pieces is bounded by 2 × 3n-2 + 1 and 4 × 3n-2 + 1, for fair and strongly fair division respectively.     

一种实用的域内标记算法及其公平性

本文从6个方面对WTO有关协定的英文文本的语言特点作了分析,结 合翻译实践经验,对其翻译提出些建设性的意见。     

易燃易爆物流配送自动称量灌装秤气控线路的设计

对于一些易燃易爆的液体化工原料的称量和灌装，要求十分严格。本文针对易燃易爆品物流配送过程中称量灌装秤气控线路的设计，提出分析和探讨。     

对LZ77图象压缩算法进行改进的C语言实现

本提出了一种用于无损灰度图象数据压缩新的编码方法-一种基于对LZ77压缩方法的改进以及对图象元素预测误差的估计为基础的字典压缩方法，并给出了该方法的C语言程序实现。     

铜绿山矿全尾砂充填系统的改造工程

文章主要介绍了铜绿山矿全尾砂充填系统改造工程的主体方案,具体包括砂仓仓顶、砂仓仓底、电气设备、自动化仪表等方面的改造。改造后的系统采用操作台手动控制和PLC上位机控制两种控制方式,能有效缩短设备维护处理时间,提高设备开动率,降低停工时间和间接费用,特别是降低了工人的劳动强度,提高了生产效率。     

试述用异或算法来实现计算机软件外壳加密的程序

计算机软件产品是一种知识密集的特殊产品,生产一个软件产品需要大量的人力物力,生产难度大,成本高,周期慢。但是,软件产品的复制却是相当的容易。这就导致了非法复制、盗版软件之风的泛滥。加密是目前保护知识产权的一种有效方式。但任何加密软件都可能被破译、我们不能因噎废食。加密与解密,是矛和盾的关系,要想防止被解读,必须提高加密技术。本文利用异或算法对文件的关键代码节来实现了这种加密,防止通过使用Soft-ice或者其他的调试软件来对程序进行反汇编,阻止分析源程序,以此来实现对软件的保护。     

物流实时配送系统优化模型的构建与求解分析研究

为了解决物流实时配送系统过程的具体实施问题,以满足人们不断增长的物流需求,本文主要研究物流实时配送系统问题中,最优的配送中心个数,配送中心的选址,配送运输车辆行程路线安排,探讨寻求解决问题的有效方法,从而构建适当的运筹学数学模型,并对模型的求解进行深入透彻的分析研究,以实现整个集成物流系统的最小成本,从而实现最优化目标。为物流配送企业解决此类问题提供了思路和方法,并在部分企业进行了实证运用。     

基于误差反向传播算法的OFDM系统频域均衡

提出用一种基于神经网络的均衡方法,并用误差反向传播(BP)算法对多层前馈网络进行训练.分析和数值仿真结果表明,基于BP网络的频域均衡方法有较好的均衡效果,并且复杂度不高.