改进混沌遗传算法寻优敏捷供需链动态调度时段

本文面向敏捷供需链动态调度时段优选方案设计,构建以最低总成本为目标的动态调度模型;基于传统遗传算法的常见缺陷以及启发式算法的局限性,提出面向敏捷供需链时段资源动态调度全局寻优的改进混沌遗传算法。首先设计分节式编码,再利用随机法与贪心法产生更优良初始种群,提高染色体可行性及遗传效果;选用优先保留交叉以及贪心机制下的目标导向变异,确保优良基因继承,改善遗传操作;实施局部邻域搜索以及混沌搜索以加快收敛;提出最优解判别法。最后,实例验证算法有效性,不但取得全局最优解,而且子体更加收敛,离散度更低。     

Word of mouth as a promotional tool for turbulent markets

Word‐of‐mouth advertising involves activities to encourage consumers to talk about a product or company to friends and neighbours, setting in motion a chain of communication that could spread through a whole market. Each activity, itself small and relatively unimportant, could escalate through word of mouth to create strong, positive brand images and beliefs. A major characteristic of chaos theory, sensitive dependence on initial conditions (the butterfly effect) is at work in word of mouth. This paper reviews word of mouth literature from a chaos/complexity theory perspective. Using a multiple case study approach, the significance of word of mouth in turbulent markets is assessed. It was found that more successful companies tended to use word of mouth proactively, and that it is an effective marketing tool for turbulent environments. Furthermore, chaos theory is shown as a good lens through which to view word of mouth. This paper is important because word of mouth has had little attention from the academic community, with the exception of electronic or Internet based word of mouth. Furthermore, it suggests an academic theory to underpin word of mouth that has not been considered before. In addition, it is important because, in South Africa and possibly in other under‐developed and developing countries, word of mouth is critical to marketing to less sophisticated or literate markets.     

电力系统短期负荷混沌预测法

电力系统短期负荷预测,在日常工作中具有十分重要的意义,它是保证电力系统的安全、经济运行的基础。文章简要对短期负荷预测的研究方法进行介绍,详细分析了混沌理论预测方法,包括相空间重构等主要思想。另外,选择合适的综合预测模型才是提高预测精度的主要方法。     

Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective

In this paper, we trace four origins of agent-based computational economics (ACE), namely, the markets origin, the cellular-automata origin, the tournaments origin, and the experiments origin. Along with this trace, we examine how these origins have motivated different concepts and designs of agents in ACE, which starts from the early work on simple programmed agents, randomly behaving agents, zero-intelligence agents, human-written programmed agents, autonomous agents, and empirically calibrated agents, and extends to the newly developing cognitive agents, psychological agents, and culturally sensitive agents. The review also shows that the intellectual ideas underlying these varieties of agents cross several disciplines, which may be considered as a part of a general attempt to study humans (and their behavior) with an integrated interdisciplinary foundation.     

基于CPSO的基础设施模糊投资组合优化模型

针对基础设施效益模糊、难以度量的特点,结合模糊集理论,建立了模糊投资组合优化模型,改进粒子群算法,加入混沌思想,使用混沌粒子群算法(CPSO)求解基础设施的模糊投资组合优化模型。以4个城市投资公司的数据为样本,验证该方法的科学性与有效性。研究结果表明:模糊投资组合优化模型可较好地表征基础设施的模糊效益,提高基础设施投资决策的科学性;混沌寻优思想改进的粒子群算法可求得模糊投资组合优化模型的全局最优解,增强算法的鲁棒性。     

数据加密技术在水果保鲜中的应用

简要的介绍了数据加密的概念和方法及其在水果保鲜中的作用机制。     

计算机信息数据的安全分析及加密技术探讨

随着计算机信息技术的飞速发展,给人类社会各行各业的技术变革带来了巨大的冲击,然而,计算机信息数据的安全问题也逐步受到人们的关注。作为计算机安全技术的核心——加密技术,是保证网络、信息安全的核心技术,将面临着新的挑战与机遇。本文主要是对计算机信息数据的安全现状进行分析探讨,并提出了相应的加密技术。     

物流配送车辆调度问题算法综述

配送车辆调度优化问题旨在解决配送中路径和车辆调度问题的一类组合优化问题,是近年来物流控制优化领域的研究热点。文章对运输调度问题进行了分类总结,给出总体模型的概括描述,分析遗传算法、模拟退火算法、禁忌搜索算法、蚁群算法和微粒群算法的特点及其在求解配送车辆调度优化问题中的求解思路,并讨论了其求解现状,对未来研究方向进行展望,指出改进混合现有算法,开拓新算法将是更有效解决配送车辆调度问题的好方法。     

基于四叉树复小波的自适应图像去噪

小波变换应用于图像去噪处理方面得到广泛的应用,但其自身也存在着一些缺点和不易控制因素,大大地限制了其图像去噪能力和应用的范围。而四叉树复小波变换很好地改善了这一缺点,具有较好的方向选择性和平移不变性,并且容易实现完全重构。本文通过对常见的图像去噪方法,对其原理进行解析,再讲解基于四叉树复小波的自适应图像去噪的优点和发展趋势,让大家对现代复小波自适应图像去噪有一个清晰的认识。     

基于多风险体企业风险管理组合的优化决策

针对企业多类风险暴露体管理策略选择,提出基于投资理论的CR模型,并采用遗传算法分析风险管理成本和收益。通过一个典型算例说明企业风险组合管理策略选择的标准和过程,结果表明该方法具有简单有效、快速准确等特点。