人口信息数据集成模型研究

国家四大基础资源库中,人口信息资源库尤为复杂,通过研究上海市人口信息资源库的建设,提出了数据集成模型。该模型通过三层架构的数据网格和对象关系模型,解决了人口信息资源复杂的整合问题,为人口信息共享和人口领域业务协同奠定了基础。     

人口系统能控性的探讨

本文就控制具有下确界约束的人口发展过程能控性进行了探讨。定义了相应的人口状态空间,提出并证明了人口控制系统在人口状态空间中能控性的充要条件。     

北京市主城区人口疏解效果的动力学仿真研究

在深入分析北京市主城区人口流动的构成要素及各要素相互关系的基础上,构建了北京市主城区人口疏解效果的动力学仿真模型,以探讨北京主城区的人口疏解效果及通州城市副中心和雄安新区的人口发展趋势.以2011-2017年北京市主城区人口数据为基础进行实证分析,发现2011-2015年北京主城区人口急剧上升,2016-2022年主城区人口呈稳定下降趋势.在严格的疏解政策下,2020年北京市主城区人口规模将控制在1100万左右,可以接近实现北京市"十三五"发展规划所设定的人口调控总体目标,通州城市副中心人口未来会保持稳定,雄安新区人口会有所增加.     

基于SuperMap的人口GIS动态管理系统的构建与研究

科学的人口GIS的建立与应用是“数字”城市发展的基石,是社会可持续发展的主流技术之一。分析了人口GIS在社会经济发展中的地位和作用。介绍了基于SuperMap的人口GIS的构建,阐述了组件式和WEBGIS在人口GIS中的应用,同时说明了在人口GIS建设过程中运用的关键技术,需解决的关键问题。     

保定市农村转移人口市民化的制度障碍研究

在中国经济发展的过程中,农村转移人口起到了重要的作用,在加快城镇化的进程中,实现农村转移人口全面市民化已经成为提高城镇化质量的关键。本文阐述了农村转移人口市民化的概念及其现实意义并且以河北省保定市农村转移人口为研究对象,基于对保定市的实地调研数据,深入研究了影响农村转移人口市民化的制度障碍因素,并提出了相关建议措施。     

以航空影像为基底的户籍人口地理信息系统的建立与应用

本文在分析户籍人口地理信息系统需求的基础上,提出了以栅格影像数据为基底的人口地理信息系统的结构、人口信息定位基本地理单元划分以及系统建设的技术途径和应用,介绍了北京市石景山区八角派出所户籍人口地理信息系统的建设技术方法     

人口GIS支持的零售单位布局空间分析

着重论述了人口地理信息系统在城市零售单位布局问题中的应用。提出零售单位与人口分布的一致性分析、零售单位辐射范围及吸引人口和零售单位选址三个模型 ,并介绍了天津市人口地理信息系统中模型应用实例。     

基于ThinkPHP框架的暂住人口管理系统设计与开发

我国经济的高速发展,流动人口的增加,给各地暂住人口的管理带来了诸多问题,建立暂住人口管理系统是解决暂住人口管理问题的最基础工作之一探讨了采用ThinkPHP框架技术设计暂住人口管理系统的方法,该系统可以应用于社区、商贸城等暂住或流动人口较为密集单位或部门.     

人口系统的稳定性理论和临界妇女生育率

本文对人口发展过程的李雅普诺夫稳定性进行了研究,证明了无论是用偏微分方程或差 分方程组去描述人口系统,都存在稳定性问题.文章从理论上证明了存在一个临界妇女生育 率,使人口系统处于稳定的边缘;找到了临界生育率的明显表达式,从而结束了人口学家们多 年的猜测.临界生育率由死亡率函数、育龄妇女生育模式和社会人口的性比便函数三者一意 决定.中国现阶段的临界生育率为2.17.本文得到的结果可供某些国家制定本国人口政策或 联合国制定世界人口政策参考.     

初论人口计生工作的信息化管理

本文结合我国人口计生工作信息化管理的现状,对流动人口计生信息化管理平台、宏观管理、电力政务、人口计生相关信息的保障机制、基层人口计生工作的质量几个人口信息化建设的要点进行了详细阐述。     

A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming

This paper evaluates different forms of rank-based selection that are used with genetic algorithms and genetic programming. Many types of rank based selection have exactly the same expected value in terms of the sampling rate allocated to each member of the population. However, the variance associated with that sampling rate can vary depending on how selection is implemented. We examine two forms of tournament selection and compare these to linear rank-based selection using an explicit formula. Because selective pressure has a direct impact on population diversity, we also examine the interaction between selective pressure and different mutation strategies.     

“低技”途径回归中国传统住宅——以中原民居为例

面对我国经济落后,人口与资源压力大的基本国情,文章提出以低技术低造价的策略应对当前居住问题的建议,并通过对中原地区传统住宅的分析,唤起当代建筑设计对中国传统住宅形式,材料工艺,构造方式和居住形式在低技术策略运用上的关注以及对使用者心理和自然环境的关怀。     

The design of school furniture for Hong Kong schoolchildren. An anthropometric case study

Anthropometric data of Hong Kong schoolchildren have been collected and analysed in order to develop recommendations for the design of chairs and tables for use in Hong Kong Government coeducational schools. The anthropometric data for Hong Kong have been compared with data from a Western population (United Kingdom) and another Asian population (Japan). Five sizes of chair and table combinations have been proposed to accommodate six primary and seven secondary forms (pupils aged from 6 to 18 years). The recommended design dimensions, based on the anthropometric characteristics of the Hong Kong target populations, are discussed in relation to recommendations from previous research in this area.     

Multiobjective structural optimization using a microgenetic algorithm

In this paper, we present a genetic algorithm with a very small population and a reinitialization process (a microgenetic algorithm) for solving multiobjective optimization problems. Our approach uses three forms of elitism, including an external memory (or secondary population) to keep the nondominated solutions found along the evolutionary process. We validate our proposal using several engineering optimization problems taken from the specialized literature and compare our results with respect to two other algorithms (NSGA-II and PAES) using three different metrics. Our results indicate that our approach is very efficient (computationally speaking) and performs very well in problems with different degrees of complexity.     

Queueing network models of packet switching networks part 2: Networks with population size constraints

An overview of the application of product-form queueing networks to the performance analysis of store-and-forward packet communication networks is presented. Queueing network models with closed chains and other forms of population size constraints are considered. The modeling and analysis of networks with window flow controlled virtual channels are described first. Models for the performance analysis of strategies for nodal buffer management and permit-oriented network congestion control are then presented.     

A closer look at mutation in genetic algorithms

This paper examines the influence of mutation on the behavior of genetic algorithms through a series of examples and experiments. The results provide an existence proof that mutation is a far more profound operator than has ever been recognized. Implications are discussed which point to the importance of open questions concerning genetic algorithms. The paper also reviews the implementation of the infinite population model of Vose which forms the computational basis of this investigation.     

A Genetic Algorithm Simulation of a Transition Economy: An Application to Insider-Privatization in Croatia

A genetic algorithm simulation is applied to a model of privatization in a transition economy. Bounded-rational agents, learning by doing in a changing economic environment, are presented as a population of artificial adaptive agents. The paper examines the comparative performances of three alternative forms of genetic algorithm – the simple GA, PGA with election and EGA with elite selection. The latter version proved to be more robust than the alternatives.     

基于协同进化遗传算法的多议题谈判

以协同进化遗传算法模拟自动谈判是目前智能计算和多Agent系统等领域研究的新课题。针对现有文献仅模拟单议题谈判的情况,该文提出基于协同进化遗传算法和适应度共享小生境技术的多议题谈判模拟算法,以轮流出价谈判协议为例进行仿真实验。实验结果表明,该算法能在策略种群中形成局部小生境,生成近似Pareto最优的策略集。     

一种基于密度聚类的小生境差分进化算法

针对基本差分进化算法早熟收敛的缺陷,提出了一种基于密度聚类的小生境差分进化算法。该算法基于DE/rand/2/bin变异方式全局搜索能力强、鲁棒性好和DE/best/2/bin变异方式局部搜索能力强、收敛速度快的特点,首先初始化一个没有子种群的全局种群,再在全局种群中采用DE/rand/2/bin进行迭代搜索,并对其中的个体进行聚类,当聚类簇中的个体数目达到规定的最小规模时形成一个小生境子种群,然后在各子种群中采用改进的DE/best/2/bin进行迭代搜索并重新进行聚类,从而提高进化过程中种群的多样性,增强算法跳出局部最优的能力。仿真实验表明,该方法能显著提高算法的收敛速度和全局搜索能力,有效避免早熟收敛。