供应链二级分销网络的优化研究

在综合考虑各种费用要素的基础上,提出了供应链二级分销网络优化模型,该模型属于一类选址-分配问题,文章采用遗传算法对其进行求解,从中选出预建立的分销中心,然后采用蚂蚁算法对建立起的二级网络优化运输路线,从而使得总成本更小,文章中用具体的例子进行了仿真,验证了优化模型的正确性和算法的有效性。     

基于模拟退火的进化算法性能对比研究

将模拟退火算法和遗传算法、粒子群优化算法分别进行结合,形成模拟退火—遗传算法以及模拟退火—粒子群优化算法,并作性能对比分析。研究结果表明,这两种算法都在进化代数和全局寻优能力方面有较大突破,在找寻最佳个体解的效率上,模拟退火—粒子群优化算法更突出。     

文化与基因有无联系?——现代达尔文主义进军社会领域的思想轨迹

文化与基因是否有关系?达尔文的进化论与社会人文科学的关系如何?解决这些问题,就需要从达尔文主义入手,进而研究达尔文主义与"社会达尔文主义"和种族主义的根本差别,显然,达尔文主义进入人性和道德等领域过程中出现的动物行为学、社会生物学和进化心理学等学科,扩展了人们关于人自身的认识,对人文社会科学的发展具有推动作用。但也留下一系列不能简单地用基因与文化的直接关系来解决的难题。为了解决这些问题,需要对人类的行为模式和心理机制作深入科学的、历史的研究。     

多车场集送一体化车辆调度问题及其遗传算法研究

针对物流配送中的多车场一体化车辆调度问题提出了智能处理方法,采用了基于自然数的一体化配送对路径表示方式,用里程约束来控制车场的插入,以增加惩罚的方式加入时间窗约束。并且根据具体约束情况设计了改进的遗传算法,采用了动态染色体、改进的交叉和变异法、内部扰动和外部扰动等技术,提高了遗传算法的优化效率和优化效果。介绍了此算法的原理,给出了具有一个代表性算例试验结果和结果分析。试验结果表明了此方法对优化有里程和时间窗约束的多车场一体化车辆调度问题的有效性。     

安徽省市域经济增长质量动态模糊综合评价——基于改进的AHP-FCE集成模型

基于评价指标提供的信息和运用改进的AHP-FCE集成模型对2002—2011年间安徽省各市经济增长质量进行了动态模糊综合评价。从构建的描述经济增长质量5个维度的指标体系中选取了8个代表性指标,建立模糊关系矩阵并优化生成客观权重,由模糊合成运算得到动态综合评价结果。通过各市经济增长质量动态综合评价值、最大序差和影响因素分析,显示出安徽省市域经济增长质量在10年间的动态变化轨迹和区域性差异,只有个别城市处于经济增长质量的核心区域,更多的城市则处于经济增长质量的＂跳跃＂区域,经济增长质量的各维度发展程度不均衡。     

Quadratic estimation in mixed linear models with two variance components

Explicit expressions for Bayes invariant quadratic estimates, biased and unbiased, are presented and proved to cover the entire class of admissible estimates in the considered classes. An unbalanced genetic model is studied for demonstration.     

Genetic and environmental influences on cognition during childhood

The basic methodology of behavior genetics is described in the context of the twin and sibling/adoption design. Results of applying this model to cross-sectional data on cognitive development throughout the lifespan are presented. Results from a large longitudinal twin and adoption study of general intelligence are presented to illustrate the use of the basic behavior genetic model in studying the causes of continuity and change in development. A special model is presented for the study of abnormal behavior occurring at the extremes of the distribution and an adaptation of the model is discussed for the study of genetic linkage or the mapping of quantitative trait loci (QTL). Results of applying this model to a sample of twins and kindred siblings indicated the presence of a major QTL for dyslexia on chromosome 6. The purpose of the paper is to illustrate the scope of behavior genetic methodology in studying individual differences in behavior in a biosocial context.     

长株潭城市群水资源承载力的实证研究

在界定水资源承载力概念的基础上,构建了长株潭城市群水资源承载能力的指标体系,采用基于遗传算法的投影寻踪聚类模型对长株潭城市群水资源承载能力进行了实证分析,提出了提高长株潭城市群水资源承载能力水平的几点应对措施。     

Multi-objective optimization in partitioning the healthcare system of Parana State in Brazil

Motivated by a proposal of the local authority for improving the existing healthcare system in the Parana State in Brazil, this article presents an optimization-based model for developing a better system for patients by aggregating various health services offered in the municipalities of Parana into some microregions. The problem is formulated as a multi-objective partitioning of the nodes of an undirected graph (or network) with the municipalities as the nodes and the roads connecting them as the edges of the graph. Maximizing the population homogeneity in the microregions, maximizing the variety of medical procedures offered in the microregions, and minimizing the inter-microregion distances to be traveled by patients are considered as three objective functions of the problem. An integer-coded multi-objective genetic algorithm is adopted as the optimization tool, which yields a significant improvement to the existing healthcare system map of the Parana State. The results obtained may have a strong impact on the healthcare system management in Parana. The model proposed here could be a useful tool to aid the decision-making in health management, as well as for better organization of any healthcare system, including those of other Brazilian States.     

基于卓越绩效模式的供应链质量成本优化研究

本文以供应链质量成本为主要研究对象,分析归纳供应链质量成本研究现状,结合卓越绩效模式方法,提出质量成本核算体系,建立基于卓越绩效模式的供应链质量成本模型。通过一个应用案例,采用遗传算法求解,证明该方法使供应链成本得到了优化。