桩筏基础的系统模拟法优化设计研究

针对桩筏基础复杂的大系统问题,提出了系统模拟法优化设计思想。首先应用正交试验设计优化系统输入,其次采用桩筏基础有限元分析程序计算系统输出响应,最后运用多目标决策技术优化系统输出响应并确定桩筏基础优化设计均衡解。该方法实现了人机交互的优化设计,可确保优化结果可行性。     

基于多目标决策与层次分析法的最佳路径模型

在最佳路径选择问题中,如何综合考虑多种因素的综合影响以及确定各因素的影响大小是一个关键性问题。通过建立最佳路径的道路层次模型,给出多目标决策模型和因素评分模型,并用层次分析法确定各影响因素权值的方法建立了基于多影响因素与综合评判的最佳路径模型。同时,在Dijkstra最短路径算法的基础上,应用文章所提模型方法实现了在多...     

基于系统动力学和多目标规划整合模型的土地利用总体规划方案研究

土地利用总体规划是土地资源管理的“龙头”,是时土地资源进行合理配置和实现国民经济宏观调控的基本手段,在我国土地资源管理事业中具有极其重要的作用。论文介绍了国内土地利用规划方法,分析了该方法的不足,并提出了基于系统动力学和多目标规划整合模型（SD-MOP）的土地利用总体规划方案．探讨了SD-MOP整合模型的可行性和优越性以及模型的整合过程和构建方法,为土地利用总体规划方案研究摸索出了一套新的方法。     

基于非劣排序的多目标优化免疫遗传算法

提出一种基于非劣排序的多目标优化免疫遗传算法。算法基于非劣排序对种群进行分类来评价个体的价值,在选择操作中引入个体浓度保持种群多样性。采用免疫克隆操作为产生新种群和算法实现全局搜索提供了基础,采用遗传种群与父代群体锦标赛竞争的方式保留最优解。仿真实验结果表明:算法在收敛性和分布性方面要优于NSGA-II算法。     

多目标法全站仪水平角检定技术的实现

一测回水平方向标准差是指全站仪用盘左、盘右观测同一目标所求得的方向值的准确度,是衡量全站仪测角质量高低的标志.本文叙述了多目标法水平方向标准差的测定过程,给出了多目标法水平方向标准差检定结果的计算模型,并以测角标称精度为3"的南方NTS-663全站仪作为样机,利用多目标法进行水平方向一测回标准差检定,通过4个检定序列,...     

CT断面图象序列中多个目标三维重建和显示(英文)

本文在断面图象序列中,单个目标的三维重建的基础上,提出一种同时快速重建和显示断层斟象序列中多个目标的方法,并在微机图象处理系统上实现三维重建和显示,效果较为理想,这是当前世界上的前沿问题。     

多目标多层次流域需水预测系统开发与应用

利用交互式递阶层次分解法构建流域需水预测系统,并在系统中纳入宏观经济水资源模型建立社会、经济、生态和水资源之间的相互作用关系,实现了需水预测的多目标、多层次的结构体系。系统已在2000年进行的海河流域水资源规划工作中应用。     

Multi-object approach and its application to adaptive water management under climate change

This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and applied to quantify water adaptive management for the demands of water sustainable use, water environmental protection and eco-water requirement under the climate change. For this study in China, two key indicators are proposed, namely (1) the water resources vulnerability (V) that was represented by integrated sensitivity (S) and resilience (C) of climate change impact on water resources, and (2) the sustainability of socio-economy and water environment, marked by DD, that is integrated scaler of socio-economic development (EG) based on the amount of GDP and the water environment and relative eco-system quality (LI). To find a reasonable solution for adaptive water management, a multi-objective decision making model of adaptive water management is further developed and the multi-objective model was transformed into an integrated single optimization model through developing an integrated measure function, called as VDD=DD/V. This approach has been applied to adaptive water resources planning and management for case study of China with new policy, called as the strict management of water resources based on three red line controls, i.e., the control of total water use by the total water resources allocation, the control of lower water use efficiency by the water demand management and the control of the total waste water load by water quality management in the Eastern China Monsoon Region that covers major eight big river basins including Yangtze River, Yellow River, Haihe River and Huaihe River. It is shown that the synthetic representation of water resource vulnerability and socio-economic sustainability by the integrated objective function (VDD) and integrated decision making model are workable and practicable. Adaptive management effect of the criterion compliance rate and water use efficiency are more appreciable through new water policy of the three red line controls, which can reduce 21.3% of the water resources vulnerability (V) and increase 18.4% of the sustainability of socioeconomy and water environment (DD) for the unfavorable scenario of climate change in 2030.