基于Agent的分布式查询优化研究

Internet上异构的软硬件环境以及多种并行机制对分布式查询优化技术提出了新的挑战，文章将分布式人工智能与数据库管理系统两个研究领域相结合，给出了基于Agent的分布式查询优化系统模型，在该系统中，Agent采用了典型的慎思型体系结构，即BDI模.Agent具有信念库，目标库并在此基础上进行学习和推理，多个Agent之间通过协调，协作以及协商以支持分布式数据库系统的动态查询优化和规划的执行，提高系统的查询效率。     

多目标模糊优选理论在水资源系统中的应用

开放的水资源系统分析理论应是水资源学与系统科学等多种学科的结合 ,介绍一种新兴而实用的水资源系统分析技术———半结构性决策系统模糊优选理论的基本原理及其应用。     

Combined shape and sizing optimization of truss structures

 In this paper, an evolutionary optimization method is presented for weight minimum problem of a 3-dimensional truss structure in terms of nodal coordinates and element cross-sectional areas. The structure is subject to stress, local buckling and displacement constraints. Two types of design variables with different natures are optimized separately: (1) a fully stressed design (FSD) and scaling techniques are applied to sizing variables and (2) the evolutionary node shift method is applied to shape variables. Alternating procedure is utilized to couple the two types of variables and to combine the results. The optimum solution is achieved gradually from the initial configuration design. Two typical truss structures are examined to illustrate the validity of the method. Received: 22 October 2001 / Accepted: 04 June 2002 This research work is supported by the National Natural Science Foundation of China under the guarantees no. 10072050 and 10172072, respectively.     

螺旋管簧的可靠性优化设计

讨论了螺旋管簧的可靠性优化设计问题。在基本随机变量的概率特性已知的情况下，采用二阶矩法和可靠性优化设计方法对螺旋管簧进行了可靠性优化设计。通过计算机程序可以直接实现螺旋管簧的可靠性优化设计，迅速准确地得到螺旋管簧的可靠性优化设计信息。     

价格不确定情况下炼厂生产计划的优化

生产计划的编制是炼油企业生产经营管理中的一个关键环节，然而由于市场变化的不确定性，使企业制度长远规划受到限制，笔者将多目标规划应用于炼厂价格不确定情况下生产计划的制定，使所得到的生产计划在一定程度上反映市场的变化并能使企业的生产效益最优，为企业管理决策者进行长远规划给予指导。通过实例验证了该方法的可行性。     

后桥壳的可靠性优化设计

该文讨论了后桥壳的可靠性优化设计问题.在基本随机变量的概率特性已知的情况下,应用随机摄动法和约束随机方向法对后桥壳进行可靠性优化设计,并编制了实用的计算机程序,可以迅速准确地得到后桥壳的可靠性设计参数.     

空间桁架结构拓扑优化设计的线性规划方法

本文以杆件内力为设计变量,构造了多工况作用下空间桁架结构拓扑优化的线性规划模型,考虑了应力和位移约束,能够避免奇异最优拓扑和不稳定结构的产生。     

Analysis and Optimization Laminar Viscous Flow Through a Channel

Optimizing of laminar viscous flow through a pipe by two dimensionless values is investigated analytically. Dimensionless entropy generation and pumping power to heat transfer rate ratio are used as basis for constant viscous and the temperature dependence on the viscosity. For this matter we calculate entropy generation and pumping power for a fully developed in a pipe subjected to constant wall temperature for either constant viscosity and the variable viscosity. The variation entropy generation increase along the pipe length for viscous fluid is drawn, either the variation summation dimensionless entropy generation and the pumping power to heat transfer rate ratio are varying the fluid inlet temperature for fixed pipe length and are varying pipe length for fixed fluid inlet temperature are drawn. For low heat transfer conditions the entropy generation due to viscosity friction becomes dominant and the dependence of viscosity with the temperature becomes essentially important to be considered.     

From hospital to municipal cogeneration systems: an Italian case study

A mixed integer linear programming model combined with a more traditional design by scenarios is proposed to optimize facilities size and operation mode of a municipal energy system involving significant civil centres and a hospital. Moving from the need of a new heat and power station for the local hospital due to the construction of new pavilions, the opportunity of involving other centres in the neighbourhood in a distributed cogeneration system is analysed, increasing system complexity step by step. Smaller cogeneration units tailored to hospital needs are rewarding ventures with relatively low risks but, in a country whose traditional power generation systems heavily rely on fossil fuels and where energy policy and market conditions can make it profitable to sell surplus power, district heating systems foster the installation of larger cogenerators and lead thereby to higher profits and to better performance as for primary energy savings and greenhouse gases emission reduction. Copyright © 2006 John Wiley & Sons, Ltd.