蚁群算法在马斯京根模型参数估计中的应用

蚁群算法是一种模拟进化算法,该算法具有许多优越的性质.研究了一种可用于求解连续空间优化问题的蚁群算法策略,针对洪水演算的马斯京根模型参数估计问题,应用连续性空间优化问题的蚁群算法模型进行了求解.应用实例表明,蚁群算法在求解连续空间优化问题中是很有效的,可以广泛应用于各种自然灾害模型的优化问题.     

子密钥数据库安全加密算法研究

探讨数据库的加密特点及其加密方法,并详细介绍一种类似DES(数据加密标准)的分组加密算法———子密钥数据库加密算法;同时分析和讨论如何实现数据库加密、解密以及更新;以微软数据库SQLServer2000为例,介绍数据库加密算法的实现过程,该实例应用广泛,在信息管理系统安全、电子商务等领域有很大的借鉴作用。     

A FUZZY SETS MODEL FOR MEASURING THE EFFECTIVENESS OF PUBLIC PARTICIPATION IN WATER RESOURCES PLANNING1

Mathematical modeling of complex water resources System problems, particularly water pollution control, is aided by fizzy set theory. Public participation in large scale federally funded water resources and pollution control projects is now a federal requirement and practice of various planning agencies. However, no systems based model for quantifying and measuring the effectiveness of public participation is known to exist. In this paper, we report a fuzzy set based model developed for doing this in areawide water resources planning The model is essentially cascade in nature and employs the concepts of fuzzy pessimistic and optimistic aggregations to cluster and analyze the evaluations of the basic factors. Sample computations of the model are provided.     

Cost effective environmental control technology for utilities

On September 24, 1998, new regulations announced by the US EPA require 22 eastern states plus the District of Columbia to develop state implementation plans to reduce ground-level ozone through the reduction of nitrogen oxide (NOx) emissions (Cooper, 1998). This plan calls for a 28% NOx cut in the summer time (1.2 million tons) by 2007. This calls for utilities to develop new, efficient, and robust post-combustion NOx control technologies. A new environmental control technology called low temperature oxidation (LTO) system, which can reduce NOx emissions below measurable levels (i.e. 2 ppm using process analyzers) at low temperature (125-325 °F), was awarded the best available control technology and the lowest available emission reduction technology by the US EPA in April 1998. Ozone is employed to oxidize nitric oxide (NO) to dinitrogen pentoxide (N₂O₅) at a low temperature in an oxidizer, which is then easily absorbed by water in a scrubber. Bench scale and pilot plant tests have shown that the LTO process can almost completely remove the NOx emissions (i.e. NOx emissions are below levels measurable using process analyzers). This proved that the LTO system is an attractive process to meet the stricter NOx regulations. There are multiple benefits of the LTO system besides removal of NOx emissions, includes reduction of SOx and CO emissions, and no secondary air emissions (NH₃, N₂O). In order to obtain minimum NOx emissions, extra ozone needs to be supplied. The cost of the process also increases nonlinearly as emissions decrease. This poses a challenging multiobjective optimization problem where emissions like NOx and SOx need to be minimized, while minimizing the system cost as well as extra ozone. This problem is addressed using a new and efficient multiobjective optimization framework. This framework will provide designs that are cost effective as well as environmentally friendly.     

改进的层次分析法及其在自然灾害风险识别中的应用

自然灾害风险识别系统是由众多自然因素和社会经济因素组成的复杂系统 ,其主要问题之一就是如何将有关定性风险因素定量化。为此 ,本文进一步探讨了层次分析法用于自然灾害风险识别系统的具体途径。直接从判断矩阵的定义出发 ,提出了基于加速遗传算法的层次分析法 (AGA AHP)。利用该法 ,可同时确定层次各元素相对重要性的排序权值和进行判断矩阵的一致性检验。理论分析和实例分析的初步结果说明 ,AGA AHP法直观、可行而有效 ,其计算结果精度高于目前常用的基于特征根的层次分析法的相应结果 ,在各种自然灾害复杂系统分析中具有重要的理论意义和广泛的应用价值。     

基于神经网络建立煤与瓦斯突出的预测模型

基于神经网络，提出了建立煤与瓦斯突出预测模型的方法，给出了网络系统的构造方式及算法，预测结果表明该法具有很高的容错性和准确性     

基于时间的进场航班效率评估方法研究

终端区作为空中交通的起讫点,是拥堵、延误的多发区,其运行效率对航班整体的运行效率至关重要。欧洲航行安全组织(EUROCONTROL)采用畅通进场时间(Unimpeded AMSA Time)作为量化进场效率的标杆。我国目前还没有明确的进场效率量化指标,因此可以借鉴畅通进场时间这个指标来评估进场效率。以首都机场为研究对象,首先对进港航班ADS-B数据进行预处理来计算进场时间,然后利用K-means聚类算法对航班进行分组,运用回归分析法找寻与终端区拥挤程度关联性最强的解释变量,提出关于畅通航班拥挤阈值的方法来计算畅通进场时间,最后用时间效率指标对进场效率进行评估,得出5月首都机场的进场效率为83. 39%,可为进场效能评估提供参考。     

路径-脆弱点最短距离最大化的危险品运输网络设计

为了实现危险品运输网络的有效设计,进而降低危险品运输风险。将分布于公路两侧的医院、学校、居民区、购物中心等人口集聚场所定义为“脆弱点”,并通过计算运输路径和脆弱点间的加权距离来评估路段风险;结合双层理论构建模型,上层规划为政府的网络设计问题,通过关闭部分路段来最大化危险品车辆行驶路径与各脆弱点间的最小加权距离,下层规划则为承运商的车辆路径选择问题;为求解模型,设计1类启发式算法,并对算法的计算时间复杂性进行证明,最后根据算例分析发现,该算法经过有限数量的迭代即可得到风险最小的、次小的、…、第k小的运输路径及对应的路段关闭方案,为寻求兼顾运输风险和运输成本的最优方案提供决策支持。     

大型空间桁架天线振动控制及作动器位置优化

目的对在轨大型空间柔性桁架天线结构振动进行主动控制及作动器位置优化。方法采用线性二次型最优控制算法对天线结构进行振动抑制,以系统能量和控制能量的和作为优化性能指标,利用遗传算法对作动器的位置进行优化。结果在优化配置的两个作动器控制作用下,受到激扰的天线结构振动便在10 s内得到良好得抑制,振动幅值减小了一个量级。结论适当地增加作动器数目,恰当地配置作动器的位置能有效抑制柔性天线结构的振动。     

Prediction of dissolved gases content in power transformer oil using BASA-based mixed kernel RVR model

In this paper, beetle antennae search algorithm-based mixed kernel relevance vector regression (BASA-MkRVR) model is presented and applied to predict the dissolved gases content in power transformer, and beetle antennae search algorithm (BASA) is used to select the appropriate kernel parameters and controlled parameter. The RVR model with RBF kernel (RBFRVR) and the RVR model with Sigmoid kernel (SigmoidRVR) are, respectively, used to compare with the proposed BASA-MkRVR model in order to testify the superiority of BASA-MkRVR compared with RBFRVR and SigmoidRVR. The experimental results indicate that BASA-MkRVR has more excellent prediction ability for the dissolved gases content in power transformer oil than RBFRVR and SigmoidRVR.